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 |
|---|---|---|---|
| The AI's Poker Face: Contrasting Persuasion and Sycophancy in Voice-Based Multi-Turn Conversations The paper studies opinion change, rhetorical strategies, and sycophancy in spoken multi-turn dialogues between humans and language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies conversational influence and user opinions, not retrieval-augmented generation. | |
| OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools The paper presents OpenMobile-2, combining open mobile environments, trajectory datasets, and hybrid GUI-tool actions for mobile agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on mobile app interaction and GUI tool use, not document retrieval. | |
| AutoEnvScaling: Automating the Data Flywheel with Terminal Agents The paper presents AutoEnvScaling, using terminal agents to automatically generate reinforcement learning environments from model rollouts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on reinforcement learning environments for terminal agents, not document retrieval. | |
| Modeling the Arrival Time of Information-Bearing Events in Natural Language The paper uses neural temporal point processes to model the timing of information-bearing events in human and model generated text. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies statistical text generation, not retrieval-augmented systems. | |
| The Thinking Leakage in Reinforcement Learning for LLMs The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies reasoning mechanics without retrieval-augmented generation. | |
| ASSET: Adaptive Speech Segmentation via Reinforcement Learning The paper introduces ASSET, a reinforcement learning method that adaptively compresses speech encoder outputs into continuous audio tokens. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Deals with audio token compression, not retrieval augmentation. | |
| Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills The paper introduces a benchmark derived from real customer support dialogues to evaluate language models executing bounded, tool-using skills. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on customer support tool workflows, not retrieval systems. | |
| Multimodal Co-Generation With Continuous Bitstream Diffusion The paper applies continuous bitstream diffusion to joint and conditional generation across multimodal data without learned tokenizers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Presents generative diffusion modeling without retrieval augmentation. | |
| Tokenization-Invariant Watermarking: A Byte-Local Method for LLM Text The paper presents a byte-local text watermarking method that scores outputs without invoking tokenizers during detection. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Presents a text watermarking algorithm, not retrieval systems. | |
| SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering The paper presents SPROUT, a snapshot-based rollout framework to scale reinforcement learning for long-horizon software engineering tasks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on agent rollback mechanisms, not retrieval augmentation. | |
| Scaling Laws for Multimodal Data Mixtures The paper derives multimodal data mixing scaling laws across text, vision, and audio using mixture-of-experts models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies pretraining mixture scaling, not retrieval-augmented pipelines. | |
| MemForm: Benchmarking Memory Formation Poisoning in LLM Agents The paper introduces MemForm to benchmark adversarial memory formation poisoning across five input interfaces in language model agents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on agent memory formation poisoning, not retrieval architectures. | |
| Neither True nor False: Do LLMs Represent Truth-Value Gaps in Plural Predication? The paper introduces HomogeneityNLI to evaluate whether open-weight language models recognise truth-value gaps in plural predication. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies linguistic truth-value gaps without external document retrieval. | |
| Evaluating Semantic Relation Knowledge through Bidirectional Relation Prediction from Gloss Pairs The paper introduces a bidirectional gloss-pair prediction task to evaluate semantic relation knowledge across multiple languages in language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies relation prediction, not retrieval from external sources. | |
| Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies coding benchmarks without addressing retrieval-augmented generation. | |
| Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks This paper audits Chinese language models for bias and error propagation across formal and ironic social registers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on toxic content classification, not document retrieval systems. | |
| EdgeLLM-Nano: Auditing Polar-Guided Key-Cache Compression and Consistency-Anchored Pruning on a 33.6 MB On-Device Language Model This paper audits key-cache compression and weight pruning techniques on a small edge-deployed language model testbed. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies KV-cache quantization, not retrieval-augmented generation systems. | |
| Query-Adaptive Neuron Steering for LLMs This paper proposes a framework that dynamically steers internal language model neurons based on query-induced activation patterns. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Explores internal model steering without external knowledge retrieval. | |
| Reward-Aligned Distillation This paper presents a bilevel distillation method that weights teacher supervision tokens based on their predicted impact on student reward. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on distillation training, not retrieval-augmented generation systems. | |
| Uniform Information Density-Based Preference Optimization This paper proposes a preference optimization algorithm grounded in uniform information density theory to align language model outputs. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Develops preference optimization without involving retrieval or external knowledge. | |
| PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models This paper introduces a benchmark to measure vision-language model hallucinations caused by deceptive textual premises paired with visually confusable images. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on visual reasoning errors rather than document retrieval. | |
| VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS This paper presents an instruction-following text-to-speech model that separates voice design from speech generation using an intermediate voice latent. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Addresses speech generation, not retrieval-augmented generation. | |
| Amharic-English Cross-Language Question Answering Using Statistical Machine Translation, Named Entity Recognition, and Semantic Indexing This paper presents a bidirectional Amharic-English cross-language question answering system using machine translation, entity recognition, and semantic indexing. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Traditional statistical machine translation and indexing, not modern RAG. | |
| The Constitution Speaks Nheengatu: An Open MT System and Reproducible Corpus Pipeline for the Amazonian Língua Geral This paper releases an open parallel corpus, speech evaluation set, and translation models for Portuguese and the Amazonian language Nheengatu. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Deals with parallel corpus translation, not retrieval generation. | |
| Who Receives Respect? A Counterfactual Benchmark for Honorific Allocation Bias in Bengali This paper introduces a counterfactual benchmark to evaluate honorific register allocation bias across gender and occupations in English-to-Bengali translation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on translation bias without retrieval augmentation. | |
| Dependency Reasoning for Aspect Sentiment Quadruple Prediction This paper injects linearized dependency parse trees into language model prompts to improve aspect sentiment quadruple prediction. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Uses demonstration retrieval for prompting, not a RAG pipeline. | |
| Social Bias in Chinese Large Language Models under Social Media Expressions This paper evaluates social bias in Chinese language models across social media expressions, internet slang, and sarcastic packaging. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not involve external retrieval or document augmentation. | |
| Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction This paper investigates an agent framework that selectively queries expert judgments for borderline emotion-cause pairs to improve extraction accuracy. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies agent query decisions rather than RAG architectures. | |
| Description Complexity Bounds for Analytic Approximations of Lipschitz Functions This paper derives theoretical description complexity bounds for approximating one-dimensional Lipschitz functions using elementary analytic expression trees. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Theoretical mathematics with no retrieval-augmented generation aspects. | |
| TeachGrade: Training-Free Short Answer Scoring with Teacher Evidence This paper proposes a training-free framework that uses teacher-graded examples and dual memories to improve automated short answer grading. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Applies teacher-graded case retrieval specifically for automated grading scoring. | |
| FidelityQ: Preserving Predictive Fidelity in Ultra-Low-Bit Language Model Quantization This paper introduces a scalar quantization method using analytic coding to preserve language model predictive fidelity at precisions down to two bits. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not involve retrieval mechanisms or external databases. | |
| HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs This paper presents a multimodal fusion network for depression detection combining gait, audio-visual data, and textual personality descriptions. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not involve external document retrieval or grounding. | |
| HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention This paper introduces a discrete Hodge decomposition method to separate semantic flow transitions within transformer attention mechanisms. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not cover external retrieval or grounding techniques. | |
| PAT: A Personality-Driven Augmentation and Transfer Learning Framework for Depression Detection on Social Media This paper presents a personality-driven augmentation and contrastive learning framework to improve depression detection from social media posts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not investigate retrieval-augmented generation architectures. | |
| RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs The paper introduces an information extraction benchmark for extracting structured regulatory fields and source provenance from dense environmental policy documents. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Addresses structured extraction from documents, not RAG pipelines. | |
| Lumen-bench: Cross-Lingual Safety Gaps and the Say-Do Problem in Tool-Calling Large Language Models The paper introduces a multilingual benchmark evaluating safety and discrepancies between verbal refusals and tool actions in tool-calling language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on tool-calling safety rather than retrieval-augmented grounding. | |
| Compute-Optimal Scaling Laws for Spiking Language Models The paper presents an empirical scaling law study measuring parameter and compute trade-offs in spiking neural network language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not investigate retrieval-augmented generation architectures. | |
| Where Did We Go Wrong? Localizing Errors to Repair Multi-Turn Conversations The paper presents a framework to probabilistically localize user-intent misinterpretations and repair conversational states in multi-turn assistant systems. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not address external document retrieval or augmented generation. | |
| Learning Proposition-Level Links from Sentence-Level Supervision for Neuro-Symbolic NLI The paper proposes a trainable proposition linker that learns atom-level semantic links from sentence-level supervision for neuro-symbolic inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Deals with natural language inference, not RAG architectures. | |
| Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry The paper introduces a benchmark evaluating how multi-agent teams develop communication protocols under asymmetric information and restricted communication channels. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not involve external document retrieval or grounding systems. | |
| Active Learning for Finding a Needle in a Haystack The paper evaluates whether active learning strategies can overcome initial selection biases when identifying rare document classes in large text corpora. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on classification active learning, not retrieval-augmented generation. | |
| Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity The paper investigates whether word-aligned prosodic speech measurements reflect speaker identity traits more strongly than depression or PTSD severity. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not explore document retrieval or RAG systems. | |
| Do LLMs differentiate linguistic traits internally?: A layer-wise analysis The paper conducts layer-wise representational analysis to determine how language models internally distinguish conventional meanings from idiomatic traits. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not evaluate retrieval-augmented generation or knowledge retrieval. | |
| Do correct answers have stable latent knowledge support? The paper proposes stability metrics to measure whether correct outputs in language models are backed by stable internal knowledge representations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies internal parametric representations rather than retrieval-augmented generation. | |
| From Candidate Tokens to Final Outcomes: Decoding Relative Long-Horizon Candidate Value from Reasoning Model Representations The paper constructs a dataset to show that relative candidate token value in multi-step reasoning is linearly decodable from model representations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not study retrieval-augmented generation or external document grounding. | |
| AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning The paper introduces a reinforcement learning framework that trains tool-using agents to generate and refine financial alpha factor formulas. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on agent tool queries rather than RAG architectures. | |
| Concept Representations in Vector Space: Quantifying Sharedness and Idiosyncrasy of Meaning The paper develops a measurement framework using sentence embeddings to quantify shared versus individual-specific variation in concept definitions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Studies semantic concept variance, not retrieval-augmented generation systems. | |
| A Step in the Right Place: Understanding and Optimizing Timestep Placement in Continuous Diffusion Language Models The paper introduces an algorithm to optimize denoising timestep placement in continuous diffusion language models to improve generation quality. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not address external knowledge retrieval or RAG pipelines. | |
| Apertus 1.5: From Open Text Models to Open Multimodal Reasoners The paper presents open-source multimodal models extended to process text, images, and audio with long-context reasoning capabilities. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not focus on retrieval-augmented generation architectures. | |
| An Interpretable Linguistically-Grounded Analysis of Scene Saliency in Movie Screenplays The paper evaluates whether uniform information density and specific linguistic features predict salient scenes in movie screenplays. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not explore document retrieval or RAG architectures. | |
| The Fragility and Dynamics of LLM Pruning-Recovery Steps The paper analyzes how pruning and subsequent recovery stages interact, finding instruction-following collapses earlier than domain knowledge during model compression. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not investigate retrieval systems or knowledge grounding. | |
| Towards Robust Calibration Dataset for Domain-General Mixture of Experts Pruning The paper studies how calibration dataset size, language, and data distribution affect post-training expert pruning in mixture-of-experts models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not study document retrieval or augmented generation. | |
| The Gradient That Top-k Distillation Never Computes The paper analyzes gradient dynamics in top-k distillation, showing that renormalization prevents optimization along directions controlling tail token probabilities. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not address external document retrieval or knowledge grounding. | |
| Feedback as an Interface: Controlling Form and Detail in LLM Translation Refinement The paper investigates how varying the detail and format of feedback affects machine translation refinement in large language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not evaluate external document retrieval or grounding methods. | |
| A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan Grounding The paper introduces a Persian vision-language-action dataset and benchmark to evaluate robotic instruction grounding under deliberate ambiguity and infeasibility. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Uses RAG as an ablation baseline, not core focus. | |
| Rate-Resolved Text Evaluation with Masked Diffusion Language Models The paper introduces rate-resolved text evaluation to turn masking rates in diffusion language models into diagnostic scores for text assessment. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Not focused on retrieval-augmented generation architectures. | |
| The Mathematical Collective Unconscious: Jungian Archetypes within the Latent Space The paper examines whether large language model embedding spaces naturally form semantic clusters resembling Jungian archetypes using synthetic and human-authored texts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not explore retrieval-augmented generation architectures. | |
| Towards Autopilot Labeling for Short Video Content Governance The paper presents a multi-stage automated labeling framework using multimodal models and agents to annotate short videos for content moderation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Not focused on retrieval-augmented generation architectures. | |
| Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop This paper synthesizes literature on educational language models to evaluate whether tutoring systems measurably improve student learning gains. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Does not address retrieval-augmented generation. | |
| Generalizable Model Editing Could Be More Than Direct Generalization The authors analyze limitations in direct model editing benchmarks and compare them against observed generalization in practical chat settings. Preprint | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | Not relevant Focuses on weight editing rather than retrieval augmentation. |
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