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 |
|---|---|---|---|
| MENTOR: Procedural Shielding of Tool-Using LLM Agents This paper introduces a system to ensure tool-using language model agents comply with natural language company procedural manuals. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on procedural compliance and shielding rather than retrieval-augmented generation. | |
| Beyond Model Bias: Cross-Entropy Based Rankings in Literary and Academic Texts Remain Stable across Small Language Models This paper studies cross-entropy surprisal metrics, showing that predictability rankings of texts remain consistent across multiple small language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval mechanisms or grounding. | |
| AD4EDU: Benchmarking University Lecture Audio Description across Accessibility Standards, Metrics, and Learner Preferences This paper introduces a benchmark and rule-based metric for generating and evaluating audio descriptions in university slide lectures. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not investigate retrieval-augmented generation techniques. | |
| UZHCL_for_the_win at Touche: Encoder Fine-Tuning, Synthetic Augmentation, and an Underpowered Encoder-LLM Comparison This paper evaluates encoder fine-tuning and synthetic data augmentation for fallacy detection and argument classification on Reddit discussions. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover retrieval systems or knowledge-augmented pipelines. | |
| Towards Universal Calibration for In-Context Classification This paper presents a universal calibrator to improve confidence estimates of in-context classification without requiring model-specific fine-tuning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve external knowledge retrieval or grounding pipelines. | |
| Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations This paper proposes a mathematical framework using cellular sheaves to isolate phrasing-invariant content representations in transformer language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not deal with retrieval-augmented generation architectures. | |
| ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses This paper introduces a benchmark dataset to evaluate hallucination detection in language model responses after external tool execution. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on tool-calling outputs in dialogue rather than document retrieval or RAG. | |
| DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck The paper proposes an agent framework that discovers lightweight proxy evaluators to bypass costly benchmark evaluations during autonomous engineering discovery. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or external document indexing. | |
| Soft Teacher Forcing The paper proposes combining teacher-forced embeddings with soft tokens to improve supervised fine-tuning on reasoning datasets without changing inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval, external knowledge sources, or grounding. | |
| MLAfication: Efficiently Enabling High-Fidelity MLA for Modern LLMs The paper introduces an attention conversion method enabling multi-head latent attention on modern architectures with reduced memory footprints. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation architectures. | |
| Online LLM Personalization from Pairwise Preferences Across Users The paper formulates online language model persona personalization as a dueling bandit problem using sequential pairwise user preferences. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on style personalization rather than knowledge retrieval or RAG. | |
| Nufo: A Benchmark for Ewe Automatic Speech Recognition The paper introduces a 174-hour speech benchmark and evaluates baseline models on Ewe automatic speech recognition. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation. | |
| From Sampled Evidence to Radiology Reports: Objectives, Constraints, and Realization The paper evaluates how objective functions and candidate constraints affect decision conversion when generating radiology reports from sampled evidence. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on evidence aggregation and realization, not external document retrieval. | |
| The Curse of Knowledge in Role-Playing Language Models The paper tests whether role-playing language models leak private or unobserved character information across simulated interactive scenes. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Investigates information leakage in role-play, not RAG or document retrieval. | |
| PIG: Parallel Inconsistency Guidance for Accelerating Diffusion Language Models The paper introduces a lightweight guidance model to estimate parallel decoding inconsistency and accelerate diffusion language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not concern retrieval-augmented generation or search. | |
| Evaluating Temporal Reasoning in Large Language Models: Event Temporal Relation Extraction with Allen's Interval Algebra, Logical Consistency, and Relative Time in Narratives The paper evaluates five language models on extracting complete interval networks of relative temporal events from narratives. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Evaluates temporal relation extraction from text rather than RAG architectures. | |
| Distilling Text LMs into Speech-to-Speech LMs by Matching Internal Text Predictions The paper proposes a knowledge distillation method that transfers text language model capabilities to speech-to-speech models using internal text interfaces. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not relate to retrieval-augmented generation. | |
| Scaling Inference-Time Compute with Teams of Coding Agents The paper studies compute allocation across multi-agent coding teams to identify Pareto-optimal trade-offs between cost and performance. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses multi-agent compute allocation rather than document retrieval or RAG. | |
| A Sense of Proprioception in Language Models The paper trains language models to report internal states through supervised fine-tuning and on-policy learning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address external information retrieval or RAG architectures. | |
| Everyone Was Right: Lexical Representations in Language Models Are Both Abstract and Holistic The paper investigates lexical representations in transformer models by decomposing representations into item, class, and interaction components. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover retrieval-augmented systems or knowledge grounding. | |
| EdgeWise: Bringing Long-Horizon Agents to the Edge via Selective Cloud Delegation The paper proposes an edge-cloud collaboration framework that selectively delegates complex agent steps from local models to cloud models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent delegation strategies, not retrieval-augmented generation. | |
| TDR: Tagalog Diacritic Restoration Dataset The paper introduces an annotated dataset and retrieval approach for Tagalog homograph diacritic restoration. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Mentions retrieval only as a dataset construction tool, not RAG systems. | |
| Facts Don't Speak Louder than Words: The Behavioral Essence of Long-CoT Distillation The paper studies long chain-of-thought distillation and argues improvements stem from structured reasoning patterns rather than factual correctness. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval or external knowledge grounding. | |
| StateHarness: Maintaining Evolving Project State for Long-Horizon Coding Agents The paper presents a runtime framework that tracks evolving repository state and dependencies to assist long-horizon coding agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on agent state tracking during software tasks rather than external document retrieval. | |
| When Does an ASR Error Matter? Task-Role Diagnostics for Tool-Using Voice Agents The paper introduces a diagnostic protocol to evaluate how speech recognition errors affect structured tool calling in voice agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Examines tool calling from speech rather than retrieval-augmented generation systems. | |
| DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss The paper proposes disaggregating teacher and student models across separate nodes with a fused loss to accelerate knowledge distillation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or external document retrieval. | |
| Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models The paper proposes an unlearning method that removes sensitive facts from model responses while preserving surrounding non-sensitive factual context. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or external document grounding. | |
| Worth Their Weights? Evaluating Generative Models for Discourse Parsing The paper compares discriminative and generative language models for rhetorical structure parsing and elementary discourse unit segmentation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses discourse structure parsing without external document retrieval. | |
| The Image Still Has a Say: Final-Answer Repair for Multimodal Chain-of-Thought The paper repairs multimodal chain-of-thought final answers using original image features without altering the generated reasoning trace. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on visual reasoning readout rather than external document retrieval. | |
| Encoding Context into LLM Weights: What Makes It Context? The paper investigates methods for encoding context into model weights so that language models properly apply the temporary context during subsequent inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Encodes context into weights as an alternative to context retrieval. | |
| Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively The paper evaluates how language models correct user misconceptions across five languages, showing indirect pushback often fails to fix factual errors. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Investigates sycophancy and pushback phrasing, not retrieval-augmented generation. | |
| Understanding Machine Taste: Aesthetic Agreement Across Foundation Models in K-pop The paper analyzes aesthetic judgments by foundation models on K-pop music videos to measure inter-model consensus across audio and visual modalities. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not touch upon retrieval-augmented generation or document search. | |
| Connecting the Dots: Enduring Performance Gaps in ASR Systems Between Standard and Minority English Varieties The paper tracks automatic speech recognition performance from 2021 to 2025, finding persistent accuracy disparities between standard American English and minority accents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on speech recognition rather than retrieval-augmented generation. | |
| More Reader Data or a Better Teacher? Updating a Model of Crowd Highlights in Late 2026 The paper compares direct prompting, model-distilled supervision, and larger reader datasets for predicting user text highlighting behavior on web pages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on social highlight prediction rather than retrieval-augmented generation. | |
| Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders The paper proposes ReMaRk, a reinforcement learning method that trains recommender models using all available reader replies simultaneously to reduce variance. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Deals with recommendation reward functions rather than retrieval-augmented generation. | |
| Beyond Belief Nesting: Rethinking Higher-Order Theory of Mind in Large Language Models The paper introduces HopToM, a benchmark testing whether higher-order theory-of-mind tasks in language models genuinely evaluate nested reasoning rather than shortcuts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover external knowledge retrieval or grounding. | |
| GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria The paper presents GENDIS, a multilingual dataset of YouTube comments from India, Kenya, and Nigeria annotated for gender-related discourse and stance. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on comment classification rather than retrieval-augmented generation. | |
| Full-duplex Spoken Language Modeling with Discrete Diffusion The paper presents Diffuplex, a full-duplex spoken language model that separates speech timing from content generation using discrete diffusion. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve external document retrieval or grounding. | |
| Where Words Begin and End The paper evaluates audio forced aligners and fine-tunes Whisper to predict human-aligned word boundaries across read, conversational, and telephone speech. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses acoustic-text alignment, not retrieval-augmented generation. | |
| BRIDGE: Selective Boundary Repair with Dependency Graph Evidence in Multi-Agent Systems The paper introduces BRIDGE, a runtime intervention framework that detects and repairs broken information handoffs across dependency graphs in multi-agent workflows. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on multi-agent communication handoffs rather than external knowledge retrieval. | |
| Perturbation, Not Provenance: Why Activation Steering Does Not Make a Robust Text Watermark The paper tests activation steering as a text watermarking technique, finding that standard logit-based watermarking provides more robust detection against paraphrasing. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on watermark robustness without information retrieval components. | |
| Prefilling-dLLM v2: Learned Chunk Routing for Long-Context Diffusion Language Models The paper proposes a training approach that uses learned chunk routing to speed up long-context diffusion language model processing. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on internal long-context attention routing rather than external retrieval. | |
| Swiss4Arg: A Parallel Dataset for Multilingual Argument Mining across Swiss National Languages The paper introduces Swiss4Arg, a multilingual argument mining dataset based on official Swiss voting brochures across four national languages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Focuses on multilingual argument mining datasets rather than RAG systems. | |
| Text-Only vs. Image-Aware VLM Judges for Manga Translation Evaluation The paper evaluates whether providing page images to vision-language models improves the detection of errors in Japanese-English manga translation. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or external document grounding. | |
| Batch-Paced: Fixed-Budget Batch Decoding in Discrete Diffusion Language Models The paper proposes Batch-Paced, a method that dynamically allocates decoding compute across batched requests to improve discrete diffusion language model inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Addresses batch decoding in diffusion models without external knowledge retrieval. | |
| Agent-Reflex: Teaching Language Agents to Act Reflectively The paper introduces Agent-Reflex, a training framework designed to teach language agents how to reflect and recover from noisy environment feedback. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not focus on retrieval-augmented generation methods. | |
| Fish Audio Drama 3 Technical Report The paper introduces Fish Audio Drama 3, an open-source text-to-speech model designed for multi-character dialogue, long-form synthesis, and iterative voice revision. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation architectures. | |
| Machine--human agreement in marking undergraduate assignments is specific to model, prompt and institution The paper examines machine grading on undergraduate essays across three universities, finding models compress score distributions and vary across institutions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not cover retrieval-augmented generation. | |
| A Benchmark for Bangla Task-Oriented Dialogue Understanding The paper introduces BanglaTOD, a tri-lingual benchmark for task-oriented dialogue understanding covering Bangla, English, and romanized Banglish across nine service domains. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation. | |
| From Agents to Edges: Paired Optimization for Multi-Agent Collaboration The paper introduces an optimization method that jointly refines communication instructions between communicating agents to improve multi-agent collaboration. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation methods. | |
| Narrative Lookahead in LLMs: Event-Level Decodability, Predictive Advantage, and Steering The paper probes language model hidden states across generated stories to test whether models anticipate narrative events multiple steps ahead. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation methods. | |
| Cheap, Consistent, Calibrated, but Biased? Typed Decision Models as Judges The paper evaluates typed decision models against standard language model judges to measure how emotional tone and biases affect their evaluation accuracy. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation systems. | |
| SparPR: Runtime KV-Cache Recovery for Resource-Constrained LLM Inference on Consumer Hardware The paper presents SparPR, a runtime key-value cache recovery mechanism that reduces memory bottlenecks during model inference on consumer hardware. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation architectures. | |
| Attacking Only Half the Data: Two-Sided Evaluation of AI-Text Detector Robustness Evaluates AI text detectors under attacks applied to both human and machine text, revealing high false-positive rates on edited human writing. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation systems. | |
| TRACESTEER: Trace Driven Activation Steering for Hallucination Mitigation in Diffusion Language Models Proposes dynamic activation steering using preceding denoising predictions to reduce hallucinations in diffusion language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not use external retrieval or external knowledge bases. | |
| SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation architectures. | |
| PACT: A Pragmatic Prompting Framework for Expressive and Voice-Preserving Speech-to-Speech Translation Presents a pragmatic prompting framework to preserve speaker voice, emotion, and tone during speech-to-speech translation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval or document grounding. | |
| Are We Testing Too Much? A Survey of Benchmark Compression for Efficient Evaluation of Large Language Models Surveys methods for compressing large language model benchmarks to reduce evaluation costs while maintaining accurate score estimates. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation. | |
| PAINT: A Framework for Multilingual Pain Representation from Medical Licensing Exams to Real-World Clinical Texts Presents a multilingual framework and dataset spanning four languages to evaluate clinical pain representations across exams and clinical notes. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation techniques. | |
| LegalRewardBench: Benchmarking Reward Models for Legal Preference Evaluation Introduces a human-verified benchmark to evaluate how accurately reward models judge language model outputs on legal tasks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation systems. |
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