Every paper checked — nothing hidden
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Every paper checked in the week of 12–18 Oct 2026 · Retrieval-augmented generation (RAG) — nothing is hidden. Brief papers first.
All1,002In brief3More (on-topic)118Not relevant869Not assessed4Older35Could not confirm5Blogs with no paper30All blogs31
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. In brief · #1Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Addresses memory retrieval and ingestion quality across evolving multi-author documents. | |
| Copying Is Not Grounding: Training Faithful Long-Form RAG with Authored-Sentence Credit Identifies passage copying as a failure mode in long-form retrieval systems and introduces sentence-level credit assignment to encourage genuine grounding. In brief · #2Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Investigates grounding versus copying in long-form RAG, introducing sentence-level credit training. | |
| Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions The paper investigates on-policy indirect manipulation attacks that steer autonomous agent purchasing and ranking decisions via web retrieval. In brief · #3Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Analyzes how adversarial web search results poison agent grounding and option ranking. | |
| Making every stage of medical device document assessment with large language models deterministic The paper evaluates output non-determinism in commercial language model deployments during medical device regulatory compliance assessments. Ranked #4Surprising resultPreprint8/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Builds a fully deterministic pipeline spanning OCR, chunking, embedding, indexing, and retrieval. | |
| Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict Proposes an evaluation framework to measure how LLM agents handle uncertainty and resolve conflicting knowledge during execution. Ranked #5New way to see a problemPeer-reviewed7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Evaluates how agents handle knowledge conflicts between parametric memory and retrieved context evidence. | |
| UltraBERT: Beyond the Limit of BERT Pre-Training This paper analyzes pretraining factors such as masking ratios and token budgets to optimize bidirectional transformer encoders. Ranked #6Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Investigates encoder pre-training specifically optimized for dense retrieval and downstream ranking tasks. | |
| Cortex: Consolidating Context into Parametric Memory The paper presents a method to consolidate context gains into parametric model weights using prospective queries and low-rank feed-forward updates. Ranked #7New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Investigates internalizing retrieved context into parametric memory without relying on context. | |
| Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports This paper evaluates language-model-generated disaster situation reports against human-written reports using a domain-specific sixteen-slot information schema. Ranked #8Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Studies grounding and source matching between generated situation reports and input streams. | |
| Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers Investigates retrieval performance across mixed text and image corpora, finding that retrievers systematically favor text and degrade when modalities coexist. Ranked #9Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:29 | On-topic Investigates multimodal dense retrieval across mixed text and image document corpora. | |
| Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA Designs a modular multi-agent pipeline separating search, verification, and reading for multimodal document question answering. Ranked #10Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses directly on hybrid retrieval, indexing, and multi-hop grounding over document collections. | |
| Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference This paper proposes PUlSE, using internal layer representations to detect factual errors and trigger step-level retrieval during medical reasoning. Ranked #11New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Introduces step-level retrieval timing to improve factual grounding in reasoning. | |
| Revisiting Generative vs. Dense Retrieval: A Static Value Prior Reverses the Gap Shows that incorporating static item value into dense retrieval outperforms generative retrieval in e-commerce recommendation settings. Ranked #12Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Compares generative versus dense retrieval mechanisms and reranking performance on retrieval datasets. | |
| Retrieval Disagreement as a Signal: Diagnosing and Steering Multilingual Dense Embedders Analyzes retrieval divergence across languages in multilingual dense embedders and introduces disagreement-guided steering to align shared-index search results. Ranked #13Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Diagnoses and improves multilingual dense retrievers used in cross-lingual search and RAG. | |
| Internalizer: Portable Context-to-Parameter Mapping for Very Large Language Models Presents a hypernetwork that maps document contexts directly into low-rank adapter weights for large language models. Ranked #14Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Maps external context documents directly into model parameters as an alternative to context-window RAG. | |
| SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents Proposes a reinforcement learning framework that tracks external versus internal knowledge sources to reduce search agent fabrication. Ranked #15New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses search grounding and mitigating internal evidence fabrication using external retrieved evidence. | |
| KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse Develops an open-source testbed to evaluate segment-wise key-value cache reuse beyond exact prompt prefixes during language model serving. Ranked #16Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Directly evaluates non-prefix KV-cache reuse tailored for repeated documents in RAG-style workloads. | |
| Rehearse Everything, Remember Nothing: Attic-KV Rehearses What Will Be Read The paper shows that whole-context KV cache rehearsal harms compression under tight budgets, proposing targeted rehearsal to preserve answer-relevant entries. Ranked #17Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Optimizes KV cache retention for long-context retrieval and memory evaluation. | |
| SAFE-KV: Causal Suffix Repair for Behavior-Preserving Non-Prefix KV Cache Reuse in RAG The paper presents a repair method that re-encodes causal suffixes to enable safe non-prefix KV-cache reuse in retrieval-augmented generation. Ranked #18Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses KV cache reuse specifically across reused documents in RAG pipelines. | |
| What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO) This paper examines how content matching, retrieval mechanics, and model knowledge affect web page citations in generative search engines. Ranked #19Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Analyzes how generative search engines retrieve, rank, and cite web documents. | |
| Do Personalized LLMs Need the Whole Conversation? Matching the Full History with Only 5% of Its Text via Relevance-Filtered Context This paper demonstrates that sentence-level relevance retrieval can match full conversation history accuracy in personalized language models using only five percent context. Ranked #20Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Evaluates sentence-level retrieval to ground LLM responses with relevant context. | |
| Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems This paper audits gender and stereotypical bias in multilingual job-matching embedding models using robust statistical tests. Ranked #21Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Audits bias directly in dense retrieval and embedding models. | |
| GACC-Bench: Benchmarking Goal-Adaptive Context Compression Ability across Large Language Models Introduces a benchmark to evaluate how language models adapt context compression to specific high-level task goals. Ranked #22New testPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | On-topic Proposes a benchmark measuring how LLMs compress context to preserve goal-relevant retrieval information. | |
| Understanding ChatGPT Citations: Evidence from Production Web Search Across Model Generations The paper analyzes production ChatGPT search traces across model versions to understand how queries are rewritten, fetched, and selected for citations. Ranked #23Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Analyzes web retrieval, ranking, and citation selection processes in generative search engines like ChatGPT. | |
| Learning When to Think: Utility-Guided Adaptive Reasoning for Efficient Text Retrieval Proposes an adaptive reasoning framework that supervises intermediate retrieval states and stops reasoning steps dynamically to cut latency. Ranked #24Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Optimizes reasoning-conditioned embeddings and retrieval efficiency for search. | |
| Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries The paper trains language model agents to reorganize unstructured document collections into structured workspaces to speed up future multi-document queries. Ranked #25New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Proposes proactive restructuring of unstructured corpora into navigable workspaces for knowledge retrieval. | |
| Fresh at Decision, Stale at Action: Routing New Information to LLM Decisions Already Made This paper introduces a timestamp theory and persistent ledger to route updated information to pending LLM decisions before action. Ranked #26New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Routes fresh evidence and background knowledge to update committed decisions. | |
| Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation Measures teacher entity familiarity to filter out uninformative search trajectories when distilling deep-search capabilities into smaller agents. Ranked #27New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Addresses information-seeking search behavior and evidence verification across entity knowledge graphs. | |
| Plan or Retrieve First? A Scale Study of Tool Discovery Architectures Compares retrieve-then-plan and plan-then-retrieve strategies for tool discovery across varying tool registry complexities. Ranked #28Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Studies retrieval architectures for indexing and selecting tool definitions from large registries. | |
| LLM-Based Policy Compliance Verification of Loan Applications The paper describes an automated system using language models to verify corporate loan applications against internal bank lending policies. Ranked #29New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Extracts compliance rules from policy documents to evaluate lending loan applications. | |
| Which Knowledge Should LLMs Trust? Uncovering a Generalizable Steering Direction Across Knowledge Conflicts The paper identifies an activation steering vector that controls whether language models rely on internal memory or retrieved external context. Ranked #30Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Directly investigates steering models to trust retrieved external context over memory. | |
| Evaluating Compressed Memory: Dependence, Utility, and Content Benefit The paper evaluates whether language models genuinely benefit from compressed memory by comparing them against memory-free baseline models. Ranked #31Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Critically evaluates whether retrieval and compressed document memory genuinely ground and inform language model answers. | |
| EGCForest: Structured Agent Memory Organization for Enterprise Group Chats The paper proposes a multi-view hierarchical memory framework to improve information retrieval from enterprise group chats. Ranked #32New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Presents a multi-view hierarchical retrieval framework to overcome limitations of standard RAG over chat logs. | |
| Retrieved but Not Read: Understanding Why Search-Augmented LLMs Fail to Use Available Evidence The paper analyzes why search-augmented language models produce outdated answers even when relevant evidence is retrieved. Ranked #33Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Investigates why search-augmented models fail to use retrieved evidence. | |
| Same Context, Different Agents: A Behavioral Study of Semantic Layers, Orchestration and Compaction in Data Agents The paper studies how semantic layers, orchestration, and compaction impact the performance and behavior of data agents across benchmarks. Ranked #34Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Investigates grounding, semantic layers, and context engineering over heterogeneous data sources. | |
| Hy-Memory-30B-A3B: Attributed Reinforcement Learning for Long-Term Memory Writing Introduces a compact language model trained with distillation and reinforcement learning to manage long-term memory across multiple external frameworks. Ranked #35New way to see a problemPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Improves how external memory systems store and index knowledge for downstream retrieval. | |
| Beyond Context Length: Characterising the Difficulty of Long-Context Reasoning Presents a benchmark that measures long-context reasoning difficulty using evidence scope, dispersion, and reasoning depth. Ranked #36New testPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Analyzes how models retrieve and reason over scattered evidence in long contexts. | |
| When Reasoning Traces Conflict with Evidence: How Answer Configuration Shapes Evidence Following The paper analyzes how answering via a separate model call improves evidence adherence when reasoning traces conflict with provided context. Ranked #37Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Examines how models handle conflicting external evidence versus internal reasoning traces at answer time. | |
| VELD-QA: A Large-Scale Dataset for Visual Evidence Grounding and Question Answering in Long Documents Presents a benchmark with human-annotated visual evidence to evaluate retrieval and question answering across long documents. Ranked #38New testPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Evaluates visual evidence retrieval and grounding for long-document question answering. | |
| VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility The paper presents VoteGEO-Bench to measure how rewriting web content influences information visibility in generative search engine election queries. Ranked #39Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Investigates how web content optimization influences generative search engines retrieving external sources. | |
| Web$hell: A Unified Interface for Agentic Web Access Proposes Web$hell, a unified interface combining broad information gathering, browser interactions, and evidence management for web-based agents. Ranked #40New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses information gathering, evidence caching, and retrieval from live web documents during agentic tasks. | |
| PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-Real Proposes PRIME, an index-side optimization framework using semantic restructuring and deterministic metadata synthesis to improve document retrieval. Ranked #41New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Proposes pre-retrieval index restructuring and hierarchical retrieval for external document databases. | |
| Compact and Efficient Indexes for Learned Sparse Retrieval Designs compact inverted and forward index structures using medoid summaries and SIMD-friendly bit-packing to reduce learned sparse retrieval memory footprint. Ranked #42New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:29 | On-topic Proposes compact indexes and compression techniques for learned sparse retrieval systems. | |
| Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification Compares hyperbolic and Euclidean embeddings for unsupervised patent representation to improve cross-category prior-art discovery. Ranked #43Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on prior-art retrieval systems and comparing embedding geometries for document search. | |
| Plant Memory: Technical Language Processing and a Verified Maintenance Ontology for Agent-Accessible Failure Knowledge from SAP PM Work Orders The paper presents a system using technical language processing to transform industrial maintenance work order records into an ontology. Ranked #44New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Extracts and verifies maintenance ontologies to provide structured knowledge for downstream queries. | |
| Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve This paper proposes a system where language model agents write code to create and refine tools directly over raw knowledge-graph files. Ranked #45New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on agentic retrieval and evidence extraction across text-rich knowledge graph files. | |
| TL;QR: Querying Temporal Discursive Patterns in Textual Corpora TL;QR pairs language-model passage judgments with a symbolic temporal logic engine to track evolving patterns in textual corpora. Ranked #46New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Combines LLM predicate evaluation with symbolic engines to query corpora. | |
| SciCurateBench: Curating Experimental Data from Heterogeneous Scientific Literature with Verbal-Action Agents The paper presents SciCurateBench to evaluate language models on verifying complex experimental conditions from unprocessed scientific literature. Ranked #47New testPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Evaluates structured information retrieval and re-ranking across documents. | |
| Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent System Surveys and taxonomizes recurring architectural patterns across language-model-integrated software applications, ranging from chatbots to autonomous agent systems. Ranked #48New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Examines the architecture and structural role of retrieval-augmented generation and agentic RAG forms. | |
| Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion The paper proposes a training-free query expansion method that filters hallucinated terms using corpus-conditioned cross-context reproducibility. Ranked #49New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses hallucinated terms in LLM query expansion to improve document retrieval pipelines. | |
| Test-Time Memory Construction Presents a framework that defers memory construction to test time to answer queries across long interaction histories. Ranked #50New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on adaptive retrieval and construction of stored interaction evidence for QA. | |
| Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence Introduces a retrieval method combining token-level matching and document-level embeddings for memory-augmented language models. Ranked #51New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces token-level matching to improve evidence retrieval from stored documents and memories. | |
| GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval. Ranked #52New testPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces a benchmark evaluating document retrieval, chunking, and grounded generation over intelligence reports. | |
| NativeScope: Relation-Localized Retrieval over Native Topology with a Correct Anchor Proposes a scope-then-rank retrieval method using document topology and relational structure rather than pure semantic similarity. Ranked #53Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Improves dense retrieval and chunking by scoping via document topology for RAG. | |
| SEEDS: Preview-Guided Evidence Admission for Search Agents Introduces a preview-guided admission framework allowing search agents to selectively incorporate retrieved candidates into the ongoing reasoning context. Ranked #54New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on selective evidence retrieval and ingestion into reasoning contexts. | |
| Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory Presents a temporal memory architecture using hierarchical tree structures to trace evolving multi-party conversational histories for agents. Ranked #55New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on retrieving and structuring conversational memory evidence across long contexts. | |
| Project Greenhouse: Progress Toward Fully Open and Sovereign Agentic Search The paper describes training a competitive decoder-only search reranker from scratch using modest computational resources and common datasets. Ranked #56New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Develops decoder-only rerankers for search and retrieval from modest computational resources. | |
| The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval This paper audits request independence in open Jev-style retrieval models across multi-passage query states. Ranked #57Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Audits passage retrieval models and query-evidence scoring independence. | |
| SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data The paper trains an end-to-end speech retrieval model using standard speech recognition pairs and lightweight adapters without task-specific retrieval datasets. Ranked #58New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Examines speech-to-text document retrieval to ground voice agents without needing intermediate transcription. | |
| AiSAQ-in-Filtering for DRAM-free Filtered Information Retrieval The paper introduces a product quantization technique that encodes vector data and category labels together to reduce memory in filtered search. Ranked #59New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Proposes vector quantization methods to optimize memory and efficiency for filtered document retrieval. | |
| Recall Begets Recall: Recurrent Memory Ranking for Personalized LLMs The paper proposes a recurrent memory ranking loop that dynamically expands retrieval cues and self-terminates when context is sufficient for personalized generation. Ranked #60New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Addresses memory ranking and context grounding for personalized LLMs via recurrent retrieval loops. |
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