Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| A-SAW: The Agentic Software Architecture Workflow Proposes an agentic workflow that drafts and maintains Architecture-as-Code documentation with mandatory human review gates in the IDE. Ranked #108New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Presents an agentic workflow that drafts and maintains software architecture documentation alongside code. | |
| CV-OPD: Contrastive Vision On-policy Distillation Introduces Contrastive Vision On-policy Distillation to prevent vision-language models from relying on answer shortcuts rather than visual evidence. Ranked #108Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Analyzes and fixes safety/reliability failures where models answer without genuinely relying on visual input. | |
| Stride: Scale-Aware Multi-Agent Evolutionary Refinement for Infographic Generation Proposes a multi-agent evolutionary framework that routes global composition edits and local retouching for constrained infographic generation. Ranked #108New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses multimodal text-to-image infographic synthesis using multi-agent multimodal refinement. | |
| Event-Centric Memory with Query-Aware Graph Augmentation for Long-Term Conversational Agents The paper proposes an event-centric memory framework that converts dialogue history into query-relevant graph working memory for conversational agents. Ranked #108Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Employs graph-augmented retrieval and reranking over past interaction history. | |
| Seeing at the Edge: Energy Characterization of Vision-Language Model Inference on Edge Platforms The paper measures the energy consumption, latency, and thermal behavior of running vision-language models on edge hardware accelerators. Ranked #109Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Profiles latency and energy consumption of multimodal models on edge accelerators. | |
| Structural Segmentation for Brazilian Legal Document Retrieval The paper evaluates structural segmentation strategies for hierarchical legal documents to improve dense retrieval performance in Brazilian legal texts. Ranked #109Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Studies document chunking and structural representation strategies to improve dense and lexical legal document retrieval. | |
| 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. Ranked #109New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Constructs a benchmark using multi-judge evaluation for agentic workflows. | |
| Prompt-Injection Probes Learn the Conversation, Not Just the Injection Shows linear prompt-injection monitors overfit to conversation features and reduces their false alarms by adding matched harmless negative examples. Ranked #109Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates linear probes designed to protect tool-using LLM agents from indirect injection. | |
| Does a Governed Confidence Score Know When a Text-to-SQL Answer Is Right? An Exploratory Study on BIRD and a Pre-registered Confirmation on Spider The paper audits an enterprise confidence scoring mechanism for text-to-SQL models on the BIRD and Spider benchmarks. Ranked #109Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses hallucination and reliable output gating in enterprise deployment. | |
| Implementing the Spec Growth Engine: Preventing Spec-Code Divergence, and Growing the Spec with Agents Describes the Spec Growth Engine, which uses deterministic validation and LLM agents to prevent specification-code divergence. Ranked #109New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 12 Oct, 16:29 | On-topic Develops an agentic engine where models author, plan, and code software specifications. | |
| TextVBench: Evaluating Text Rendering and Preservation in Video Generation Introduces a benchmark evaluating text rendering and temporal preservation in text-to-video and reference-to-video generation models. Ranked #109New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Benchmarks text-to-video and reference-to-video generation fidelity across text and video modalities. | |
| ToolBottleneckBench: Measuring Tool-Agent Performance under Controlled Pressures and Fixed Harness Budgets Measures tool-agent performance failures under controlled harness limits such as completion caps and tool menu visibility. Ranked #110New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Introduces a benchmark evaluating tool-agent performance and failure modes across execution harness constraints. | |
| Training-Free BioNEL-RAG: Advancing Biomedical Entity Linking through Retrieval-Augmented Generation and Large Language Model This paper introduces a training-free retrieval-augmented generation framework for biomedical named entity linking to improve cross-domain adaptability. Ranked #110Peer-reviewed0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Combines retrieval-augmented generation with LLMs to retrieve and link biomedical entities. | |
| 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. Ranked #110New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Introduces procedural shielding to guide tool-using LLM agents through multi-step workflows. | |
| EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference The paper presents an elastic vision architecture that dynamically reconfigures width and supports partitionable inference across heterogeneous edge devices. Ranked #110New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Develops reconfigurable width elasticity and cross-device partitioning for edge inference. | |
| Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos The paper introduces an open-source agent framework that improves code-rendered explainer videos through program-level debugging, static rules, and unit testing. Ranked #110New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Enables code-generating agents to self-improve via program-level diffs and unit testing. | |
| PrivacyGuard: Source-Linked Sanitization and Locally Resolvable PII References for Cloud GUI Agents The paper presents PrivacyGuard, a framework using source-linked sanitization and local references to prevent personal data leakage in cloud GUI agents. Ranked #110New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Prevents PII leakage and preserves user privacy in deployed cloud agents. | |
| OWLET: On-Policy Weighted Learning via Evidence Transfer for Video Large Language Model Post-Training Introduces an on-policy post-training framework that incorporates visual evidence transfer to improve reasoning in video large language models. Ranked #110New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Directly addresses reasoning and post-training in Video Large Language Models. | |
| RelLedger: Relational Information Governance for LLM Agent Organizations This paper introduces RelLedger, an auditing framework to trace how relational histories drive reporting choices and actions in multi-agent systems. Ranked #111New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Audits how LLM agents communicate and share records in multi-agent organizational workflows. | |
| WeGR: Unified Generative Retrieval for Industrial Search Systems in WeChat The paper introduces an industrial generative retrieval framework featuring collaborative tokenization and preference optimization for WeChat search systems. Ranked #111Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Proposes a generative retrieval framework and tokenizer for search systems. | |
| One Block, Multiple Depths: Recurrent Vision Transformers with Depth-Programmed Experts Designs a vision transformer using a single recurrent block with depth-programmed experts to reduce stored parameters without accuracy loss. Ranked #111New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Reduces parameters by 70% using parameter sharing and dynamic experts for efficient vision inference. | |
| Benchmarking Answer-Grounding Consistency in Remote Sensing Visual Question Answering Introduces an evaluation protocol and dataset to measure consistency between textual answers and visual grounding in remote sensing VQA. Ranked #111New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Benchmarks vision-language models on multimodal visual question answering and grounding consistency. | |
| DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language Models Introduces an evaluation benchmark measuring how effectively language models provide supportive responses during self-harm and crisis disclosures. Ranked #111New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces DistressBench, a rubric-based benchmark measuring crisis support capabilities in frontier LLMs. | |
| Evaluating Exact Output and Checkpoint-State Prediction in Real Programs Evaluates language models on predicting program outputs and intermediate loop checkpoint states directly from source code and inputs. Ranked #111New testPreprint5/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Evaluates language models on predicting program outputs and state transitions in Python and C++. | |
| Provenance-Aware Belief Updating in Human-AI Feedback Loops Introduces a training objective enabling language models to update beliefs using report lineage rather than raw citation repetition. Ranked #111Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Improves model reliability and robustness against echo-chamber hallucination in human-AI feedback loops. | |
| TileCas: Cascading Kernel Development Across Programming Abstractions The paper presents an interface that lets coding agents navigate and edit multiple abstraction levels when generating accelerator kernels. Ranked #112New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Introduces a multi-abstraction interface for coding agents generating GPU kernels. | |
| Think Before You Speak: Enabling Training-Free Latent Communication Between Language Models This paper presents CacheFuse, a training-free technique enabling heterogeneous language models to communicate directly by sharing key-value cache states. Ranked #112Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Explores latent KV-cache communication between language models to improve multi-agent collaboration. | |
| RUBATO: Decoupled Clocks Allow Full-Duplex Models to Think as Fast as They Can The authors propose decoupled positional encodings enabling full-duplex speech models to run internal thinking streams at hardware-adaptive speeds. Ranked #112New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Enables adaptive decoding speeds for efficient inference on varying hardware. | |
| Reference Wording Shapes Retrieval of Robot Task Instructions The paper investigates how indexed instruction wording affects the performance of lexical rankers for robot task retrieval in manipulation benchmarks. Ranked #112Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Analyzes how reference wording affects lexical retrieval and ranking accuracy on instruction tasks. | |
| CopRoute: Dependence-Aware Conformal Routing for Language Models Proposes a conformal routing method that accounts for model failure dependencies to optimize multi-model query coverage under risk budgets. Ranked #112New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:29 | On-topic Uses conformal prediction to bound the risk of all selected models failing on a query. | |
| From Glance to Focus: Mitigating Recognition Laziness in MLLMs for Fine-Grained Recognition Investigates fine-grained visual recognition failures in multimodal LLMs and proposes an inference-time method to mitigate visual cue under-utilization. Ranked #112New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates multimodal large language models and improves their fine-grained visual recognition capabilities. | |
| SmartSalesBench: A Resistance-Aware Multi-Turn Benchmark for Evaluating LLM Sales Agents Introduces a multi-turn conversational benchmark to evaluate sales agents against resistant, psychologically grounded buyer personas. Ranked #112New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces SmartSalesBench, a new benchmark and metric suite with LLM-as-judge evaluation. | |
| Multidimensional Evaluation of LLM-Generated MPC Programs The paper evaluates model-generated secure multi-party computation code across functional correctness, interface conformance, algorithm fidelity, and operational efficiency criteria. Ranked #113New testPeer-reviewed5/10 suggested | LLMs for code via acm · 16 Oct, 06:18 | On-topic Studies evaluation and multi-dimensional repair of LLM-generated secure computation code. | |
| 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. Ranked #113New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Examines vulnerabilities in long-term memory formation for LLM agents. | |
| Rethinking Activation Functions: Reducing Bias Can Improve Learning The paper examines positive activation bias in neural networks, showing that reducing this bias slows initial training but improves final model performance. Ranked #113Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates activation function design to improve training efficiency and model loss. | |
| ARMED: Adaptive Retrieval-Augmented Medication Recommendation Proposes an adaptive retrieval-augmented generation framework that dynamically expands clinical queries for medication recommendation. Ranked #113Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Presents an adaptive retrieval-augmented generation framework for clinical evidence retrieval and recommendation. | |
| Hidden Data Challenges in Clinical Machine Learning Identifies and evaluates temporal, semantic, and population preprocessing misalignments that cause data leakage and bias in clinical machine learning pipelines. Ranked #113Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:29 | On-topic Analyzes subtle data leakage and pipeline misalignments causing hidden unreliability in deployed clinical models. | |
| Measurable Semantic 3D Gaussian Splatting with Joint Region and Depth Supervision for Interactive Building Inspection Develops a semantic 3D Gaussian Splatting pipeline with depth and region supervision for interactive metric measurements during building inspections. Ranked #113New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Integrates semantic Gaussian fields with multimodal large language models for interactive visual inspection. | |
| When Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows Studies how accelerated decision-making models affect overall task completion, latency, and costs across embodied and mobile agents. Ranked #113Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Conducts an extensive empirical benchmark on agent decision speed versus end-to-end task success. | |
| 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. Ranked #114New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:18 | On-topic Evaluates LLMs executing stateful customer support skills with tools. | |
| 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. Ranked #114New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Proposes memory-efficient knowledge distillation by splitting teacher and student across nodes. | |
| LASER: Defeasible Certificate Search for Long-Range Protocol Dependencies The paper presents a certificate-based search method paired with a symbolic checker to resolve complex, distributed dependencies in protocol specifications. Ranked #114New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Uses symbolic certificate verification to analyze and recover executable protocol specification dependencies. | |
| GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines This paper introduces GUIDE, a multi-agent copilot system that assists clinicians in drafting and updating evidence-based medical practice guidelines. Ranked #114Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Performs literature retrieval, evidence synthesis, and grounding for clinical recommendations. | |
| A Distributional Framework for Behavioral Characterization and Risk Management of Large Language Models Presents a Monte Carlo simulation framework to quantify distributional response shifts and model risks across language model lifecycles. Ranked #114New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:29 | On-topic Addresses model risk management, governance, and robustness monitoring for deployed LLMs. | |
| What Do Visual-Head Discovery Scores Actually Find? Attention Source, Necessity, and Random-Control Pitfalls in Vision-Language Models Evaluates how scoring configurations and query choices impact the discovery, steerability, and necessity of visual attention heads in VLMs. Ranked #114Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates visual attention head discovery, necessity, and hallucination reduction in vision-language models. | |
| Don't Guess, Just Ask: Evaluating Interactive Requirement Clarification for Repository-Level Software Development Introduces a benchmark to evaluate how effectively LLMs clarify ambiguous user requirements in repository-level software development tasks. Ranked #114New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces ReqClarifyBench, a new benchmark assessing interactive requirement clarification in LLMs. | |
| ToolBottleneckBench: Measuring Tool-Agent Performance under Controlled Pressures and Fixed Harness Budgets Measures tool-agent performance failures under controlled harness limits such as completion caps and tool menu visibility. Ranked #115New testPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates tool-using agent performance under varying tool catalog pressures and fixed harness budgets. | |
| Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution The paper introduces an embedding model that jointly encodes vision, language, and action to retrieve relevant historical trajectories for robot learning. Ranked #115New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Develops joint vision-language-action embedding models to retrieve multimodal context for robotics. | |
| Analyzing performance of Retrieval Augmented Generation models for Question Answering Tasks The paper analyzes the performance of retrieval-augmented generation architectures on open-domain question answering tasks involving culturally grounded South Asian narratives. Ranked #115Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Analyzes factors affecting performance in retrieval-augmented generation systems. | |
| 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. Ranked #115New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Compresses KV cache using Multi-Head Latent Attention and quantization to boost serving throughput. | |
| Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair The paper introduces a learned search policy that predicts required repair steps to prioritize code edits before generating and testing patches. Ranked #115Surprising resultPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Develops an efficient search policy specifically for automated LLM code repair. | |
| When Charts Deceive Web Agents: A Paired Benchmark for Misleading Visualization-Grounded Tasks Introduces a benchmark evaluating how misleading visualizations and charts affect the multi-step execution and decisions of web agents. Ranked #115New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Analyzes deployment reliability risks stemming from misleading visual information. | |
| On the estimation and validity of AI time horizons---a statistical look at the METR plot Recomputes METR task time horizons using splines and item-response theory to examine the validity of AI difficulty curves. Ranked #115New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Analyzes the statistical estimation, validity, and calibration of the METR AI time horizon benchmark. | |
| Mission (Im)Possible: Towards Autonomous Discovery of Autopilot Logic Flaws in Open-Source Drone Frameworks The authors present an approach using domain-informed language models to discover semantic logic flaws in open-source drone autopilot software. Ranked #116New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Uses multi-agent LLMs to inspect, test, and find logic flaws in autopilot code. | |
| Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference This paper proposes PUlSE, using internal layer representations to detect factual errors and trigger step-level retrieval during medical reasoning. Ranked #116New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Reduces factual hallucination by triggering retrieval when internal knowledge is unstable. | |
| Retrieve What Helps, Only When It Helps: Agentic Reinforcement Learning for Selective Retrieval-Augmented Machine Translation The paper proposes a reinforcement learning framework that decides when and what external knowledge to retrieve for machine translation. Ranked #116Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Optimizes retrieval-augmented generation by selectively deciding when to retrieve outside evidence. | |
| Test-Time Compute for Tabular Foundation Models: Mechanisms, Gains, and Limits Analyzes test-time compute strategies, including parameter adaptation and prediction aggregation, to improve predictions in tabular foundation models. Ranked #116Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Studies parameter-efficient adaptation and compute trade-offs for foundation models. | |
| Video Codec-Guided Training-Free Token Compression for Video Large Language Models Proposes a training-free token compression method for video language models using video codec motion vectors and residuals as priors. Ranked #116New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses efficient visual token compression for video large language models. | |
| Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark Applies psychometric auditing to HELM Safety benchmarks to test whether harmful refusal functions as a single measurable attribute. Ranked #116Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Conducts a psychometric audit of safety benchmarks, analyzing construct validity and benchmark saturation. | |
| RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics Combines dual-encoder semantic retrieval with a contextual bandit to adaptively select agent tools using execution reliability feedback. Ranked #116New way to see a problemPeer-reviewed7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Improves tool retrieval and handling runtime tool failures for autonomous AI agents. |
781–840 of 3,333← PreviousNext →