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 |
|---|---|---|---|
| Recursive Self-Improvement in Unified Multimodal Models The authors introduce a training loop where multimodal models use text and visual abilities alongside program execution to generate their own training data. PreprintOlder paper (2026) Older paper (2026) — discussed this week | Retrieval-augmented generation (RAG) via blog · 18 Oct, 06:22 | Not relevant Investigates self-improvement in multimodal models, not retrieval-augmented generation. | |
| A Fast Template Matching Method for Pose Estimation of Surface Mount Components The paper proposes a modular template matching method for estimating surface mount component poses during circuit board assembly. Peer-reviewed | Retrieval-augmented generation (RAG) via ieee · 18 Oct, 06:18 | Not relevant Deals with surface mount pose estimation, not retrieval-augmented generation. | |
| Zero-Shot Visual Place Recognition via Context-Guided Feature Aggregation and VLM-Driven Re-Ranking The text contains only publisher page metadata for a paper on visual place recognition using feature aggregation and reranking. Peer-reviewed | Retrieval-augmented generation (RAG) via ieee · 18 Oct, 06:18 | Not relevant Focuses on visual place recognition rather than retrieval-augmented generation for LLMs. | |
| Home healthcare via wireless biomedical sensor network The text contains only publisher storefront metadata for a paper on wireless biomedical sensor networks for healthcare. Peer-reviewedOlder paper (2008) Older paper (2008) — discussed this week | Retrieval-augmented generation (RAG) via ieee · 18 Oct, 06:18 | Not relevant Focuses on wireless biomedical sensor networks, not retrieval-augmented generation. | |
| Secure IoT Voting System with Fingerprint Authentication and Real-Time Monitoring This paper presents an internet of things voting system using fingerprint authentication on a microcontroller with cloud monitoring. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week | Retrieval-augmented generation (RAG) via ieee · 17 Oct, 06:19 | Not relevant Focuses on an IoT voting system, not retrieval-augmented generation. | |
| Quasi-TM Transmission Line Parameters of Coupled Lossy Lines Based on the Dirichlet to Neumann Boundary Operator This paper presents a multiconductor transmission line model for two-dimensional lossy configurations based on mode reciprocity. Peer-reviewedOlder paper (2008) Older paper (2008) — discussed this week | Retrieval-augmented generation (RAG) via ieee · 17 Oct, 06:19 | Not relevant Concerns electromagnetic transmission line modeling, not retrieval-augmented generation. | |
| EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling This paper presents a framework and a dataset to generate holistic full-body co-speech gestures from audio and masked movement priors. Peer-reviewedOlder paper (2023) Older paper (2023) — discussed this week | Retrieval-augmented generation (RAG) via ieee · 17 Oct, 06:19 | Not relevant Deals with gesture generation from audio, not retrieval-augmented generation. | |
| minFAST: Minimum Span Frequency Assignment Technique for Integrated Access and Backhaul Networks This paper introduces frequency assignment techniques using partially overlapped channels to improve spectral efficiency in integrated access and backhaul networks. Peer-reviewedOlder paper (2023) Older paper (2023) — discussed this week | Retrieval-augmented generation (RAG) via ieee · 17 Oct, 06:19 | Not relevant Focuses on wireless network frequency assignment, not retrieval-augmented generation. | |
| TransX Technical Report: Scaling Sequence Transduction for Recommendation Describes a scalable sequence-transduction architecture and serving infrastructure for large-scale industrial recommendation systems. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | Not relevant Focuses on e-commerce recommendation systems rather than document retrieval or RAG knowledge grounding. | |
| CascadeLedger: Counterfactual Auditing of Information and Resource Integrity in LLM Cascades Introduces an auditing framework that checks counterfactual execution traces to ensure language model routing uses only legitimate information. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on routing and resource audit rather than document retrieval systems. | |
| TurboMamba: Faster Inference, Faster Training, and Better Prediction with Lexical Memory Proposes a hybrid architecture combining global state-space modeling with local transformer attention and lexical memory for efficient inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not examine retrieval-augmented generation architectures. | |
| APRiL: An Open-ended Benchmark for Chinese Social Awareness in Large Language Models Presents a benchmark with open-ended tasks and rubrics to assess social awareness and response generation in Chinese. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not study retrieval-augmented generation or document grounding. | |
| PRISM: Transfer and Limits of Activation Interventions in Tool-Calling Language Models Studies the transferability of internal activation interventions to reduce unsafe tool execution across model precisions and languages. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not focus on retrieval-augmented generation or document retrieval. | |
| Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards Introduces an off-policy reinforcement learning algorithm for language models using verifiable rewards without importance sampling weights. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not investigate retrieval-augmented generation or database retrieval. | |
| PEDBench: Can Speech Models Detect Phonetic Errors? Introduces a benchmark combining natural, scripted, and synthetic audio to evaluate phonetic error detection in speech models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not investigate retrieval-augmented generation pipelines. | |
| Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog Tests whether linguistically accurate morpheme boundaries in tokenizers improve translation performance compared to scrambled control segmentations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not examine retrieval-augmented generation systems. | |
| CogDrift-4D: Hierarchical Multimodal Modeling of Temporal Behavioral Decay for MCI Detection Proposes a hierarchical multimodal transformer to model long-term behavioral changes across multi-session interactions for cognitive impairment detection. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not investigate retrieval-augmented generation or document search. | |
| Task-Centric Multimodal Learning for Cognitive Impairment Detection Evaluates a multimodal screening method using voice, video, and text from voice-assistant interactions to detect cognitive impairment. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not study external document retrieval or grounding architectures. | |
| Prune the Summary, Not the History: Source-Judged Compaction for Long-Horizon Agents Introduces a method to filter unsupported compressor inferences from long-horizon agent summaries to avoid compounding execution errors. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on agent history compaction rather than external knowledge retrieval. | |
| One Bias Score, Two Factors: How Mitigations Affect Option Bias in Multiple-Choice Evaluation Deconstructs multiple-choice option bias in language models into two factors tracking answer flips and positional skew. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not concern retrieval-augmented generation or grounding. | |
| Can LLMs Anticipate Their Cruxes? Explores methods to extract the underlying decisive sub-questions that drive language model decisions across diverse generated outputs. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve external document retrieval or RAG architectures. | |
| INCONVENIENT: A Benchmark to Assess LLM Generalization Capabilities from Convenience Samples Introduces a benchmark to test model generalization under systematic convenience sampling biases in tabular data. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not cover retrieval-augmented generation or grounding mechanisms. | |
| SHIP: Structured and Hierarchical Insight with Privacy The paper proposes SHIP, an architecture for extracting structured differentially private representations from text for analytical queries. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation architectures or workflows. | |
| Multimodal AI Detection for Math-Heavy Scientific Text The paper examines AI-generated text detection in scientific papers by combining visual formatting, PDF text, and LaTeX representations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or enterprise knowledge search. | |
| Compression Does Not End at Selection: Post-Selection Positional Geometry for Sparse KV Caches The paper proposes RoPERelay to reorganize positional geometry and rotary embeddings after sparse KV cache token eviction. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Optimizes internal attention key-value caches rather than external document retrieval. | |
| From Observation to Intervention: Distilling Self-Generated In-Context Demonstrations via Executable Causal Intervention The paper introduces a causal intervention framework to distill transferable self-generated in-context learning demonstrations. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not focus on retrieval-augmented generation or external document corpora. | |
| Stop Training Against Soft Users: Mentalized Adversarial Self-Play for Proactive Dialogue The paper introduces an adversarial self-play framework modeling user mental states to improve proactive dialogue agent planning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not address external document retrieval or grounding mechanisms. | |
| Automatic Sentence Completion Using Bengali Audio Speech with a Transformer-Based Early Speech Recognition System The paper presents an automated speech recognition and sentence completion system to assist dementia patients speaking Bengali. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not study retrieval-augmented generation or knowledge grounding. | |
| KBS: A Korean Benchmark Suite for Foundation Model Evaluation The paper introduces the Korean Benchmark Suite to evaluate foundation models across six natural language capabilities. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Not focused on retrieval-augmented generation or external document grounding. | |
| What Should We Remove? Evaluating the Reliability and Costs of RLVR Data Decontamination The paper audits data decontamination methods on math corpora to quantify false removals and benchmark leakage risks. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on training data decontamination, not inference-time document retrieval. | |
| FGSS-BO: Feedback-Guided Hypothesis Management for LLM-Based Bayesian Optimization The paper proposes FGSS-BO, adding structured hypothesis management to language-model-guided Bayesian optimization. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Not about retrieving documents or grounding generation in knowledge bases. | |
| LLM-Based Weak Annotation for Cybersecurity Tweet Classification: A Teacher-Student Framework The paper presents a teacher-student framework using language models for weak annotation to classify cybersecurity tweets. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or enterprise document search. | |
| Isolating a Language Model's Judgment with a Label-Free Subspace The paper proposes isolating internal model judgments from instruction formatting variations using a label-free hidden state subspace. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Not about external document retrieval or grounding enterprise systems. | |
| TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data The paper introduces TimeCap, an open deterministic pipeline for generating signal-grounded captions from wearable health time-series data. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or enterprise document retrieval systems. | |
| VALCON: Benchmarking and Enhancing Value Consistency in Large Language Models via Dual-Role Variation The paper introduces VALCON to evaluate and improve value consistency when language models alternate between generator and evaluator roles. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on value consistency across roles rather than external document retrieval. | |
| PocketTSLM: Deploying an On-Device Soft-Prompt Time-Series Language Model for Privacy-Preserving Smartphone Reasoning The paper presents PocketTSLM, deploying an on-device soft-prompt time-series language model on smartphones for personal health data. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on time-series soft prompting rather than document retrieval pipelines. | |
| ZoomCap: Evidence-Routed Visual Zooming for Recoverable Visual Information Transfer The paper introduces ZoomCap, an adaptive visual zooming and evidence-routing framework to improve fine-grained image captioning supervision. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Uses internal image evidence routing rather than external document retrieval for RAG. | |
| Hybrid Generative-Tagging Decoding for Efficient Product Attribute-Value Extraction The paper introduces a hybrid generative-tagging architecture to improve efficiency and coverage in product attribute and value extraction. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on attribute extraction decoding rather than retrieval-augmented generation systems. | |
| QuasiLeak-Bench: Evaluating LLM-Based Privacy Detectors on Policy-Conditioned Quasi-Evidence Group Recovery The paper introduces QuasiLeak-Bench to evaluate whether privacy detectors can identify distributed quasi-identifiers governed by disclosure policies. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on privacy attribute inference rather than retrieval-augmented generation. | |
| Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning The paper studies ranking and partitioning attention heads by gradient norm for sparse and continual reinforcement learning fine-tuning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Investigates attention head fine-tuning rather than retrieval-augmented generation. | |
| Emotion Is Not External Knowledge: Internal Attention Signals for Affective State Reasoning The paper presents an internal attention boosting method to improve how language models infer implicit conversational affective states. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Studies implicit conversational states in model weights rather than external retrieval. | |
| RenoLayout: Unified Floorplan Renovation and Furniture Layout for Constraint-Aware Residential Design The paper introduces RenoLayout to generate residential renovation floorplans and furniture layouts under structural and physical constraints. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Addresses residential design generation, not retrieval-augmented generation from databases. | |
| DPA-MoE: A Runtime Precision Control Framework for MoE Inference Introduces a dynamic precision control framework that allocates weight chunks to mixture-of-experts models during inference. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on MoE weight quantization rather than retrieval-augmented generation. | |
| Calibration Language Shapes Block-Influence Pruning in Multilingual Language Models Analyzes how calibration language choices affect block-influence depth pruning rankings in multilingual language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Investigates depth pruning rather than external knowledge retrieval or RAG. | |
| Beyond Invariance: Factor-wise Selective Treatment of Shifts for Multimodal Learning Proposes a factor-wise representation framework to selectively treat different distribution shifts in multimodal machine learning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Examines representation shifts rather than retrieval-augmented generation pipelines. | |
| Identifying Effective Strategies in Prompt Evolution for Stress and Emotion Prediction Evaluates prompt optimization methods and identifies effective prompting strategies for social media stress and emotion classification. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Investigates prompt engineering for classification without external document retrieval. | |
| HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding Introduces a hybrid speculative decoding framework splitting draft tasks between mobile neural processing units and cloud servers. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on speculative decoding speedups rather than external knowledge retrieval. | |
| SITAR: A Situational Distortion Metric for Automatic Speech Recognition Evaluation Develops a lightweight situational distortion metric to evaluate speech recognition errors based on practical conversational severity. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on speech transcription metrics rather than external document retrieval systems. | |
| Translation Circuit Discovery and Targeted Optimization for Low-Resource Multilingual Translation Identifies translation circuits in multilingual models and optimizes fewer than five percent of parameters for low-resource translation. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Studies internal translation circuits rather than external knowledge retrieval. | |
| OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents Uses multi-scope reminders and on-policy distillation to help coding agents maintain constraints over long software engineering interactions. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on agent trajectory supervision rather than external document retrieval and grounding. | |
| Writability and the Pathway: A Controlled Study of Knowledge Injection into Addressed Memory Conducts a controlled evaluation of direct knowledge injection into addressed conditional memory modules across small and production models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Studies parametric memory updates rather than retrieval-augmented generation from external databases. | |
| Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation Gates reinforcement learning policy-shift distillation using intermediate checkpoints to ensure student models only learn consistent teacher shifts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or grounding. | |
| ContextLift: Breaking the Spurious Correlation Behind Conditional Emergent Misalignment Introduces a data augmentation method that breaks spurious contextual correlations causing emergent misalignment during domain finetuning. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not examine retrieval-augmented generation architectures. | |
| Spurious Attention Heads in Vision Transformers: Mechanistic Identification of Annotation-Driven Bias in Medical Chest X-Ray Analysis Identifies a specific vision transformer attention head that spuriously attends to medical image corner text instead of lung pathology. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve retrieval-augmented generation or external document grounding. | |
| When Does "Post-Call" Begin? An Availability Contract for Earnings-Call NLP Benchmarks Proposes an availability framework to identify and resolve within-event timing mismatches in earnings-call financial NLP benchmarks. Peer-reviewed | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not focus on retrieval-augmented generation architectures. | |
| Enhancing Multimodal RLVR with Pairwise Token Contrast and Adaptive Trajectory Confidence Improves reinforcement learning credit assignment in multimodal reasoning using pairwise token contrast and adaptive trajectory confidence. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not involve external document retrieval or grounding. | |
| Diffusion Language Models as Open Quantum Systems Frames diffusion language models as open quantum systems to enable text generation conditioned on superpositions of prompts and thoughts. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not address retrieval-augmented generation or external document grounding. | |
| No Single Tokenizer Feature Reliably Predicts Downstream Language Model Performance Shows across 200 models that proposed intrinsic tokenizer metrics do not reliably predict downstream language model performance. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Does not address external information retrieval or knowledge grounding. | |
| Data Strategies for Large Language Models: A Unified Perspective on the Training Lifecycle Reviews and formalizes data selection, weighting, and scheduling policies across the pretraining and post-training lifecycle of language models. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Focuses on training data pipelines rather than inference-time RAG. | |
| Abstracts or full text? Evaluating input scope and computational efficiency in biomedical lay summarization Compares abstract-only versus full-text inputs and few-shot versus fine-tuning approaches for generating biomedical lay summaries. Preprint | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | Not relevant Compares abstract vs full-text inputs for summarization, not RAG systems. |
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