Every paper checked — nothing hidden
All papers
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 |
|---|---|---|---|
| In-Place Indic Tokenizer Expansion and Continual Pretraining of Nemotron-3-Nano-30B-A3B This paper details vocabulary expansion and continual pretraining techniques to adapt an open language model across eight Indic languages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval or external knowledge grounding. | |
| Sensitivity or Criterion? Measuring and Moving When Language Models Act This paper introduces a diagnostic framework using signal detection theory to measure when language model agents decide to use tools. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on tool-use decision boundaries rather than retrieval augmentation. | |
| Hidden in Plain Sight: Advancing Harmful Content Understanding via Perception-Aware Adversarial Self-Play This paper presents an adversarial self-play framework using multi-perceptual views to improve language model detection of obfuscated harmful text. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation from external documents. | |
| REPRO: Reflective Evolutionary Prompt Optimizer for Automated LLM Red-Teaming This paper proposes a black-box evolutionary prompt optimization framework using a small open-weight model to discover adversarial jailbreaks against language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Adversarial prompt search, not retrieval-augmented generation. | |
| SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning This paper presents a structured pruning framework that decouples data-free neuron selection from localized weight reconstruction to reduce model memory requirements. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Structured pruning method, not retrieval-augmented generation. | |
| bharatSetu: a 1M x 22 bridge for indic translation The paper introduces a synthetic parallel translation dataset covering 22 scheduled Indic languages aligned via English pivot sentences. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on parallel translation corpora, not retrieval-augmented generation. | |
| Agent Sociodrama: Social-Dynamics-Guided Persona Recasting for LLM Agent Teams The paper introduces a framework to model evolving social dynamics and update personas in multi-agent language model teams. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on multi-agent collaboration dynamics, not retrieval-augmented generation. | |
| An Explainable System for Offensive Content Detection in Nastaliq Urdu: Corpus Curation, Transformer Benchmarking, and Word-Level Attribution The paper presents a Nastaliq Urdu comment corpus and evaluates transformer models with word-level attributions for offensive content detection. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text classification, not retrieval-augmented generation architectures. | |
| Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal Reasoning The paper proposes a reasoning framework that discretizes visual states into tokens to jointly optimize visual computation and chain-of-thought steps. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on multimodal visual reasoning paths, not retrieval-augmented generation systems. | |
| Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction The paper compares single-head autoregressive beam search with parallel multi-token prediction for generating semantic IDs in recommendation systems. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant About item recommendation token generation, not enterprise document retrieval or RAG. | |
| Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines The paper shows that LLM review pipelines rarely outperform the stronger model alone due to confirmation bias rather than true verification. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Studies answer verification pipelines rather than retrieval-augmented generation systems. | |
| The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much The paper tests what context judge models require, showing that omitting source constraints degrades the quality of iterative feedback loops. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Evaluates LLM judge input formats rather than RAG architectures. | |
| Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment The paper finds that fine-tuning language models on polite text containing demographic stereotypes triggers broader safety and truthfulness failures on unrelated tasks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not investigate retrieval systems or external document grounding. | |
| Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents The paper introduces an optimization method that separates error identification from credit assignment to improve reinforcement learning for tool-using agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent tool-use error attribution rather than RAG systems. | |
| OT-FlowRec: Optimal Transport-Guided Multi-Bridge Flow for Multimodal Sequential Recommendation The paper presents an optimal transport flow-matching framework to model concurrent, multi-interest user behavior in multimodal sequential recommendation systems. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on multi-interest recommendation matching rather than text-grounded RAG architectures. | |
| When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems The paper investigates privacy leakage caused by multi-agent network topologies and proposes an execution sanitizer conditioned on recipient identity. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses inter-agent communications rather than RAG indexing or vector retrieval. | |
| Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems The paper presents a runtime auditor that predicts execution failures in multi-agent systems using loss-guided perturbations to identify hard failure cases. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not focus on external document retrieval or RAG architectures. | |
| PID-Gated Continual Prompt Adaptation Under Noisy Feedback This paper proposes control-inspired gates to decide when language model agents should adapt their prompts without absorbing noisy user feedback. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on prompt adaptation scheduling rather than information retrieval. | |
| Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving This paper introduces the Active Probing Benchmark to evaluate multi-turn active questioning and specialized domain reasoning in language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Studies interactive puzzle probing rather than standard RAG systems. | |
| Omni-Modal LLMs Know More Than They Say This paper analyzes why omni-modal language models perceive non-textual inputs correctly yet fail to mention them in text outputs. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not focus on document retrieval or grounding pipelines. | |
| Phantom Merge: When Your Large Language Model Agents Pick One but Tell You About Another This paper identifies and mitigates Phantom Merge, an error where language model agents bind retrieved facts to the wrong entity. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Deals with agent entity-binding errors rather than core RAG architectures. | |
| agent-risk: Risk Assessment for Changes to AI Agents Provides a framework for assessing risks of proposed changes to deployed AI agents by selectively replaying execution logs and saved states. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation. | |
| REVEAL: Reverse Engineering Agentic Latents from Frontier-Model Traces Extracts reusable local control signals from frontier model traces to guide smaller language model agents without extra target-model training. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover retrieval-augmented generation from external knowledge stores. | |
| RetroPlanner: Multi-Route Expansion and Multi-Objective Reasoning for LLM-Based Retrosynthesis Planning Proposes a multi-route retrosynthesis planner that evaluates synthesizability and cost across chemical reaction options. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on retrosynthesis planning rather than retrieval-augmented generation architectures. | |
| VisExMEM: Visual Evidence-Based Explainable Multimodal Evaluation Metric Presents a reference-free evaluation metric that decomposes captions into atomic claims and verifies them against visual evidence. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on image-text caption verification, not external database retrieval-augmented generation. | |
| PATMT2: Two-stage domain adaptation for multilingual patent translation Evaluates a two-stage domain adaptation method for multilingual patent translation and analyzes failure modes in low-resource languages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Applies LoRA to fine-tune translation models, not retrieval-augmented generation. | |
| EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents Co-evolves the user simulator, environment tools, and rewards during training to improve interactive multi-turn language model agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on interactive agent training environments, not RAG pipelines. | |
| PatTransBench: an ipc-stratified, multi-dimensional benchmark for patent machine translation evaluation Presents an evaluation benchmark and multi-dimensional protocol for patent machine translation across Chinese, English, Japanese, and Korean. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Covers patent translation benchmarking, not retrieval-augmented generation systems. | |
| MixLID: Token-Level Language Identification in Mixed-Language Text Classifies languages at the token level across 111 language-script combinations in mixed-language and code-switched texts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Deals with language identification without any retrieval-augmented generation aspects. | |
| SuPER-Mamba: Surprisal Prioritization for Extended-Context Routing in Mamba Improves long-context handling in Mamba state space models without retraining by using surprisal scores to guide state routing. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses internal long-context routing in Mamba models without external retrieval. | |
| Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev Tests a hosted decision model to show that adding irrelevant options systematically shifts output probability distributions between top candidates. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or external document grounding. | |
| Audit Before You Distill: A Controlled Workflow for Reasoning Transfer into Compact Medical Language Models The paper analyzes the impact of teacher rationales before distilling medical reasoning capabilities into compact language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on model distillation rather than retrieval-augmented generation systems. | |
| Separating Prompt Harmfulness from Interaction Safety via Partial Generation The paper proposes evaluating partial generation outputs to stop harmful model interactions early while avoiding unnecessary prompt rejections. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Mentions search, but focuses on guardrail generation stopping. | |
| A Scaled-Up Empirical Study of Syntactic Language Models The paper presents an empirical study evaluating syntactic language models at scales up to 1B parameters across linearizations and masks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover retrieval-augmented generation. | |
| Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments The paper introduces a 30B tool-use model and an execution-grounded dataset to scale agentic tool supervision with verifiable environments. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on tool-use agents, not document retrieval. | |
| Comparing GenAI to Machine Learning and Manual Review for eDiscovery The paper analyzes legal eDiscovery review data to compare generative AI tools against continuous active machine learning and manual human review. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Studies text classification in eDiscovery rather than retrieval-augmented generation. | |
| KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees The paper analyzes how Cover Tree nearest-neighbor implementation details and query modes materially change runtime performance across datasets. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on general vector search implementation rather than retrieval-augmented generation. | |
| SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection The paper evaluates the impact of sarcasm on Turkish hate speech detection models using a targeted external test dataset. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text classification rather than retrieval-augmented generation. | |
| Understanding Personalization Gains in Whisper The paper studies low-rank adaptation in Whisper to evaluate whether transcription gains require group-specific adapters rather than pooled fine-tuning. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on speech recognition adaptation, not retrieval-augmented generation. | |
| Calibrated Typed Decisions for Entity, Relation, and Event Extraction Presents a unified encoder that jointly models type definitions and text for cross-domain entity, relation, and event extraction. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses entity and relation extraction, not retrieval-augmented generation architectures. | |
| When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing Shows that language agents often ignore identified cross-domain dependencies, causing unintended disruptive actions in network management. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Evaluates agent action execution, not retrieval-augmented generation systems. | |
| D2: High-Capability Full-Duplex Spoken Language Models from Half-Duplex Backbones Converts half-duplex speech models into streaming full-duplex conversational models capable of simultaneous listening and speaking. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Spoken interaction modeling, not retrieval-augmented generation. | |
| The Format is the Filter: Scoring Format Fixes What an LLM Judge Can Express Demonstrates that the scoring format chosen for an evaluation model strongly restricts its expressive capacity and ranking reliability. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on judging instruction data, not document retrieval systems. | |
| Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors Uses language-model perceptual descriptions of complex chemical mixtures to predict perceived odor similarity from molecular composition. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on molecular property prediction, not retrieval-augmented generation. | |
| StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions The paper introduces decision models that balance fast single-pass predictions with adaptive reasoning for uncertain cases using reinforcement learning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Presents adaptive reasoning models without retrieval-augmented components. | |
| Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior The paper develops an approach to map AI semantic blind spots and evaluates the quality of distinct human ideas. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve external document retrieval or grounding methods. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on code specifications, not retrieval-augmented generation. | |
| HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation The paper proposes a hierarchical and attribute-aware supervision method to improve training efficiency and long-tail performance in generative recommendations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Investigates generative recommendation IDs, not retrieval-augmented generation. | |
| EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design The authors propose an evolutionary framework that optimizes instance coverage and updates language model weights to discover complementary optimization heuristics. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or document search. | |
| The belief-action gap in language model agents The authors examine why language model agents fail by analyzing discrepancies between internal representations of state values and actual action choices. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not study retrieval-augmented generation or grounding with external databases. | |
| Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning The paper studies how much models contribute to multi-model teams, showing individual test scores do not correlate well with collaborative performance. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or external document retrieval. | |
| Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents The paper analyzes the failure modes of agent memory reuse and evaluates certified memory update strategies when facts change. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent reasoning contraction and skill caches rather than RAG. | |
| Dissociating Answerability from Extraction in LLM Question Answering over Radiology Reports The paper introduces an evaluation method that separates question answerability detection from answer span extraction in radiology report question answering. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Evaluates QA extraction over existing reports without studying retrieval mechanisms. | |
| Tanawpamana: Benchmarking Vision-Language Models on Philippine Cultural Heritage Sites The paper introduces a dataset and benchmark to evaluate vision-language models on recognizing and answering questions about Philippine cultural heritage sites. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on image classification and knowledge, not RAG systems. | |
| RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning The paper proposes a rubric-based reinforcement learning method combining selective teacher distillation with an adaptive hand-off to standard optimization. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on reinforcement learning training, not retrieval-augmented generation. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent failure trajectory analysis, not retrieval-augmented generation. | |
| DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter Introduces DeltaTTG, a method using predicted remaining token count as a progress signal to allocate advantages in multi-turn reinforcement learning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on step-level agent RL, not RAG architecture or retrieval. | |
| LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents Introduces LatentRiskBench to evaluate safety risks in enterprise agents where action safety depends on latent workflow context. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent workflow state risks rather than retrieval-augmented generation systems. | |
| SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models This paper presents a compact decision model designed to screen malicious agent tool skills with high recall directly from specification files. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or document search. | |
| Auditing Failure Attribution: Label Predictability and Judge Behavior This paper provides four auditing tests to determine whether failure-attribution judges actually perform multi-step checks or merely rely on spurious surface cues. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or document retrieval. |
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