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 |
|---|---|---|---|
| What Is a Clarification? Estimating Model-Dependent Input Ambiguity The paper formalizes clarification criteria to estimate model-dependent input ambiguity based on accessible and valid answers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not explore retrieval augmentation or external knowledge grounding. | |
| Language Exposure Matters: Distribution and Order in Multilingual BabyLM Pre-training The paper evaluates how language exposure distribution and ordering affect the performance of multilingual models trained with limited data. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external database retrieval or grounding. | |
| Why Generate a Click? Plug-in Decision Heads for Web Agents This paper introduces plug-in decision heads that read action choices directly from visual agent hidden states rather than generating text tokens. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not focus on document retrieval or external knowledge bases. | |
| Sparse Autoencoders for Mechanistic Interpretability in NLP: A Critical Survey of Recoverability, Interpretability, and Utility This paper surveys 138 studies on sparse autoencoders in NLP, examining dictionary design, feature recoverability, and practical utility. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not focus on retrieval-augmented generation systems. | |
| Gap Detection: Mitigating Homogenization through Demand and Defensibility This paper introduces Gap Detection, an optimization method that identifies unoccupied semantic directions to reduce homogenization in open-ended model answers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external document retrieval or grounding. | |
| RM-OPD: On-Policy Distillation for Generative Reward Models This paper presents RM-OPD, a framework that trains domain-specialized reward models via on-policy distillation into a generalist model. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address document retrieval or knowledge augmentation. | |
| TreeSpark: Learning to Draft the Trees You Verify for Speculative Decoding This paper introduces TreeSpark, a framework training semi-autoregressive drafters to generate candidate trees aligned with speculative verification. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve external retrieval or knowledge bases. | |
| When Occupation-derived Skills Don't Help: On the Limits of Skill-Augmented Career Path Prediction This paper analyzes career path prediction systems, reporting that explicit skill representations provide marginal improvement over text-only job descriptions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not examine retrieval-augmented generation architectures. | |
| Scaling Multilingual Mixture-of-Experts: How Language Coverage Changes Capacity and Compute Allocation This paper proposes a joint scaling law evaluating how adding experts in multilingual mixture-of-experts models affects language capacity and loss penalties. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external retrieval or grounding techniques. | |
| Repairing Speech Access After Text Updates with Frozen Affine Fields This paper introduces AFFIRM, using affine fields on frozen speech models to repair spoken access to recently updated text knowledge. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external document retrieval or RAG pipelines. | |
| Anuvani-LID: Robust and Calibrated Spoken Language Identification for Indian Languages This paper introduces Anuvani LID, a dedicated 115M parameter model for spoken language identification across 22 Indian languages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve retrieval-augmented generation systems. | |
| Neural POS Tagging for the Low-Resource Saraiki This paper introduces an annotated part-of-speech tagging dataset and evaluates pretrained transformer encoders for the low-resource Saraiki language. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve external retrieval or knowledge grounding. | |
| MMLA-RSI: Recursive Self-Improvement through RTT and RTMA This paper proposes MMLA-RSI, a recursive self-improvement framework using reasoning-time policy training and authoritative memory adaptation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Covers agent internal memory updates, not document-based RAG. | |
| Anuvani-Diarization: Zero Shot Speaker Diarization and Annotation Conventions Across 22 Languages This paper presents Anuvani-Diarization, evaluating zero-shot speaker diarization across 22 Indian languages with uncertainty-aware silver supervision. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address document retrieval or knowledge augmentation. | |
| Do AI Agents Gossip? Evaluative Talk in Human and AI-Agent Online Communities This paper investigates whether gossip discourse naturally emerges in autonomous AI agent online communities compared to human discussion boards. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on social behavior in agents, not retrieval systems. | |
| Lexical Persistence Without Semantic Entrenchment in AI Agent Communities This paper measures semantic drift and stability across AI agent communities, finding higher drift and lower temporal continuity than human forums. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Analyzes linguistic diffusion in agent communities, not retrieval-augmented generation. | |
| From Triage to Impact: A Multi-Hop Reasoning Benchmark for Explainable Persian Hate Speech This paper introduces a multi-hop reasoning benchmark to evaluate fine-grained, explainable hate speech analysis in Persian. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Introduces a classification/reasoning benchmark, not retrieval-augmented generation systems. | |
| FOLD: Position-Free Far Memory with Local Order for Long-Context Speculative Decoding This paper introduces FOLD, a training-free speculative decoding approach treating distant tokens as position-free far memory for long-context generation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on draft-model attention mechanisms, not document retrieval or knowledge grounding. | |
| The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation This paper introduces COUNT, scaling language model memory without training parameters by storing precomputed n-gram counts directly in host memory. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Optimizes language model pretraining via host-stored n-grams, not document RAG. | |
| Same Claim, Different Interpretations: How LLM Agents Resolve Ambiguity in Scientific Claims This paper proposes Claim Cards to make agent interpretations explicit when verifying ambiguous natural-language scientific claims. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies interpretation ambiguity in agents rather than retrieval or indexing pipelines. | |
| MolLean: A Process-Verifiable Language for Chemical Reasoning This paper introduces MolLean, a verifiable language and tool interface that grounds chemical reasoning in formal state transitions and explicit checks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on symbolic state verification and tool feedback, not external document retrieval. | |
| ChronoCulture: Evaluating Cultural Awareness Across Time in Large Language Models This paper introduces ChronoCulture to evaluate how well language models capture temporal changes in cultural attitudes across 72 countries. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Evaluates internal model cultural knowledge over time, not external retrieval systems. | |
| AdaRSI: On-Demand Recursive Self-Improvement for Embodied Agents This paper introduces AdaRSI, an on-demand recursive self-improvement framework for embodied agents that isolates and fine-tunes only persistent sub-step failures. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on embodied robotic execution and self-training, not document retrieval. | |
| Lost in Translation: Why Lower Bias Scores Don't Mean Fairer Models This paper evaluates multilingual bias audits across ten language models, showing that lower stereotype scores often reflect translation artifacts rather than fairer behavior. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on stereotype evaluation in multilingual models, not retrieval-augmented generation. | |
| ReaDy: Recurrent States as Dynamic Context for Speculative Drafting in Hybrid Linear Attention Large Language Models This paper presents ReaDy, a speculative decoding method using hybrid linear attention recurrent states to provide position-specific context during drafting. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Deals with internal recurrent state reading for speculative decoding, not external document retrieval. | |
| Manacá-1B-Instruct-2: Reproducible Safety Alignment for a Native Brazilian-Portuguese LLM. Negative DPO Results, a Controlled Composition Scan, and a Silent Failure Mode of the LLM Judge Documents safety alignment methods, negative preference tuning outcomes, and automated judge limitations for a Portuguese language model. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies post-training safety alignment rather than retrieval-augmented generation architectures. | |
| Latent Compaction with Test-Time Training Compresses long-context key-value caches using test-time training on generic document prompts without task-specific labels. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on long-context KV cache compaction rather than external document retrieval systems. | |
| The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery Presents an end-to-end distributed system orchestrating coding agents to execute computational research experiments alongside human scientists. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on orchestrating coding agents rather than document retrieval or RAG architectures. | |
| Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and Bengali Evaluates closed and open models on English and Bengali abstractive summarization using lexical metrics, factuality checks, and automated judges. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Evaluates abstractive summarization metrics, not retrieval-augmented generation or grounding mechanisms. | |
| Who Should We Listen to More? Welfare-Aware Preference Acquisition for Pluralistic Alignment Introduces a welfare-aware objective to allocate limited human feedback across diverse individuals when training pluralistic alignment models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve external document retrieval, indexing, or RAG architectures. | |
| Graph Coarsening Enables Escaping Local Optima in Compute-Constrained Nonconvex MAX-CUT Combines spectral graph coarsening with continuous relaxation to find high-quality solutions for compute-constrained MAX-CUT problems. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Solves MAX-CUT optimization rather than retrieval-augmented generation or document search. | |
| Smart Alone, Blind Together: Why Accuracy Fails to CertifyTheory of Mind in Multi-Agent Teams Argues that inferential accuracy fails to evaluate agent coordination safely because correlated errors can compound into costly team actions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external information retrieval or grounded document systems. | |
| Beyond Aggregate Accuracy: Item-Level Transitions in Prompt Optimization Introduces a prompt optimization framework that monitors item-level regressions and recoveries rather than relying solely on aggregate accuracy. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Analyzes prompt optimization across benchmarks rather than external knowledge retrieval or RAG. | |
| GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning Presents a large graphical user interface grounding dataset and a combined distillation and reinforcement learning training method for agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Deals with on-screen component grounding rather than external knowledge retrieval. | |
| Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models Surveys dataset design, construction methods, and evaluation protocols for improving spatial reasoning in multimodal language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address external document retrieval or retrieval-augmented generation pipelines. | |
| From Copying to Composition: How Language Models Develop In-Context Learning Analyzes how language models develop in-context learning by separating simple demonstration copying from multi-token rule composition across training checkpoints. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies prompt-level in-context learning rather than external retrieval systems or RAG. | |
| Unlocking Structured Pruning for Reasoning Language Models via Attention-Preserving MLP Trimming The paper proposes a training-free structured pruning method that trims multilayer perceptron layers while preserving attention mechanisms for reasoning tasks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve external document retrieval, grounding, or RAG pipelines. | |
| CAFE: Confining Feature Distillation to Language-Routed Adapters for Compact Multilingual Automatic Speech Recognition The paper proposes confining feature distillation loss to language-routed adapters to balance performance in compact multilingual speech recognition models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not address retrieval-augmented generation or external document grounding. | |
| MA-Bench: Measuring Operational Planning in Language Models The paper introduces a benchmark assessing language models on operational planning from incomplete, complex, and contradictory military document sets. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Tests operational synthesis from provided document packets rather than external retrieval systems. | |
| Into the Unknown: Benchmarking AI agents on open scientific research problems The paper introduces a benchmark to evaluate whether frontier language model agents can execute open scientific research and produce follow-up papers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on end-to-end agentic research rather than specific retrieval-augmented generation architectures. | |
| ListQA: A Benchmark for Evaluating List-Formatted Factual Knowledge Retrieval in Large Language Models The paper introduces an evergreen benchmark to evaluate the ability of language models to retrieve and format multi-element factual lists. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Evaluates parametric memory retrieval in LLMs, not retrieval-augmented generation systems. | |
| Titan-Llama: Retrofitting Pre-trained LLMs with External Neural Memory Modules The paper presents a method to retrofit attention models with hierarchical test-time neural memory modules to improve long-context inference efficiency. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies internal neural memory modules for long context, not external document retrieval. | |
| Do Syntax Heads Influence Model Behavior? The paper analyzes whether syntactic attention heads in transformers play a direct causal role in syntactic language predictions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies internal syntax mechanisms rather than retrieval-augmented generation systems. | |
| MemeTrace: A Multimodal LLM-Based Agent for Safety-Aware Meme Provenance Analysis The paper presents a multimodal agent designed to trace the origin, spread, and potential safety risks of online memes. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on multimodal meme provenance analysis rather than RAG architecture. | |
| Whose Data, Whose Benchmark? A User-Centric Framework for Auditing Evaluation Resources The paper introduces a framework to audit cultural, geographic, and user-representation biases embedded within popular machine learning benchmarks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Examines benchmark assumptions rather than retrieval-augmented generation systems. | |
| LLM-jp-4 Technical Report The paper details the development, training data criteria, and performance of the open Japanese sovereign models, LLM-jp-4. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Covers foundational model training, not retrieval-augmented generation techniques. | |
| Steering Vectors for Competing Ethical Frameworks Are Interchangeable: A Competing-Target Test for Activation Steering The paper introduces a test showing that steering vectors designed for competing ethical frameworks behave interchangeably in open-weight models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Deals with internal representation steering, not external document retrieval. | |
| Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems The paper analyzes Best-of-N sampling as an extreme-value competition between tails of correct and incorrect responses to explain reward hacking. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Examines Best-of-N reward sampling, not document retrieval or RAG. | |
| Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory The paper provides an analytical framework for how multimodal agents form, represent, and adapt memory over long-horizon tasks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Analyzes agent cognitive memory, not document retrieval systems. | |
| Beyond Corrected Actions: Training LLM Agents on Textual Critiques The paper proposes a fine-tuning method that trains language model agents using textual expert critiques alongside corrected actions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on multi-turn action training, not retrieval-augmented generation. | |
| ELARSpeech: A 30K-Hour Dataset Across 675 Underrepresented Languages for Long-Tail Multilingual Speech Technologies The paper introduces a speech dataset spanning 675 underrepresented languages to support speech recognition and text-to-speech technologies. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Acoustic speech corpus, not retrieval-augmented generation system. | |
| KoAGE: Do Large Language Models Know, Learn, and Coin Korean Neologisms? The paper introduces a benchmark to evaluate how well language models recognize, infer, and coin newly emerging Korean terms. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies vocabulary acquisition and generation, not retrieval-augmented generation. | |
| Vision-Language Models Integrate Conflicting Evidence Like Biased Bayesian Observers The paper proposes a Bayesian cue-combination model to explain how vision-language models integrate conflicting visual and textual evidence. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Analyzes multimodal cue conflict, not external document retrieval systems. | |
| How Do LLMs Understand Legal Philosophy? Diagnosing Legal-Philosophical Reasoning in LLMs The paper introduces a benchmark to evaluate how well language models understand legal philosophy and apply it to legal reasoning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not explore retrieval-augmented generation architectures or grounding. | |
| AdCoEvo: A Co-Evolving Multi-Agent Advertising Delivery System The paper presents a multi-agent system designed to automate advertising operations and coordinate tasks like bidding and budget allocation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Coordinates advertising tasks without retrieval-augmented generation techniques. | |
| Structure-Preserving Document-Level Data Augmentation via Discourse Parsing The paper introduces a document-level data augmentation method using discourse structure parsing to preserve logical flow during text generation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on data augmentation rather than retrieval-augmented generation systems. | |
| Typed Decision Models on Tabular Data The paper compares typed probabilistic decision models with large language models on tabular data classification and format robustness. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Studies tabular prompt formatting without retrieval from outside databases. | |
| Evidence-Anchored Overdose Death Prediction from Death Investigation Reports The paper presents an automated framework to predict suspected drug overdose deaths from investigation reports using expert-guided rationales. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Classifies internal report text directly without external retrieval augmentation. | |
| $τ$-Emotion-Bench: Exposing the Interaction Fragility of LLM Agents through Real-World User Emotions The paper introduces a benchmark to measure how tool-calling agents perform when interacting with emotionally varied, impatient users. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Focuses on user interaction fragility rather than retrieval-augmented generation systems. | |
| REWIND: Uncertainty-Guided Trajectory Repair for Test-Time Reasoning The paper introduces a training-free controller that uses token entropy to target and regenerate faulty reasoning steps at test time. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | Not relevant Does not involve external retrieval or document grounding. |
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