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 |
|---|---|---|---|
| Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues This paper introduces UnCoBench to benchmark how language model agents handle unhelpful, incomplete, or missing communications from partner agents. Ranked #104New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Evaluates system robustness and failure recovery in multi-agent deployments. | |
| Agentic-TTT: Training test-time policy for test-time training Proposes a policy mechanism enabling language models to decide when, how, and which test-time training procedures to execute. Ranked #104New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Learns a policy to dynamically trade off test-time compute against utility improvements. | |
| Benchmarking and Enhancing Design-Aware Code Review in the Linux Kernel The paper presents a knowledge-augmented framework and benchmark to help automated code review account for historical software design decisions. Ranked #105New testPreprint6/10 suggested | LLMs for code via arxiv · 17 Oct, 06:19 | On-topic Introduces a benchmark and method for evaluating coding agents on kernel code review. | |
| Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability This paper introduces a video benchmark derived from competitive game records to evaluate dynamic spatiotemporal world state tracking. Ranked #105New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Presents a benchmark evaluating spatiotemporal world state tracking in video models. | |
| Strong yet Controllable LLM Abstention without Learning to Abstain This paper proposes TAPS, combining standard accuracy training with post-hoc confidence selection to give controllable abstention rates without specialized tuning. Ranked #105Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Analyzes metrics decomposing risk into answering and distinguishing abilities across QA benchmarks. | |
| 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. Ranked #105Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates information boundaries and hidden state tracking in multi-agent and role-playing simulations. | |
| Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports This paper evaluates language-model-generated disaster situation reports against human-written reports using a domain-specific sixteen-slot information schema. Ranked #105Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Measures factual grounding and hallucination risks in LLM-generated reports for high-stakes settings. | |
| Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency Examines how chronological versus shuffled pre-training knowledge sequencing influences the sample efficiency of subsequent model knowledge updates. Ranked #105Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Studies efficient knowledge update strategies during training to minimize update steps and compute cost. | |
| Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis Proposes PRISM, a multimodal clinical prognostic model combining patient records with retrieved population-level embedding memory banks. Ranked #105Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Incorporates population-level representation retrieval from training cohorts to ground clinical predictive outputs. | |
| 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 #106New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces an audit framework to evaluate information sharing behavior in agent organizations. | |
| 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. Ranked #106New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents a multi-agent system of autonomous coding agents for real-world engineering discovery. | |
| Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents This paper audits whether decision models and generative language models can serve as valid synthetic respondents for psychometric surveys. Ranked #106Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Audits the reliability and validity of using language models for synthetic human profiling. | |
| EventLens: Event-Structure Reinforcement Learning for Video Understanding This paper presents EventLens, a reinforcement learning framework that trains multimodal models to understand video through explicit event structure recovery. Ranked #106New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Focuses on temporal event structure understanding in multimodal vision-language models. | |
| Compile the Table: Query-Calibrated Operator Compression for Tabular In-Context Learning Compresses tabular in-context learning key-value caches into query-calibrated prototypes to improve throughput without sacrificing accuracy. Ranked #106New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Focuses on KV cache compression and efficient inference throughput for tabular in-context learning. | |
| Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph The paper evaluates knowledge-graph-informed chunking and retrieval strategies over German legal code to support verifiable retrieval-augmented generation. Ranked #106Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Improves RAG chunking, navigation, and citation accuracy using structure-driven knowledge graphs. | |
| Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition Introduces AAArena, a benchmark evaluating how AI agents revise executable code policies across 12 adversarial games under fixed budgets. Ranked #106New testPreprint5/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Evaluates agents synthesizing, analyzing, and revising executable code policies across matches. | |
| Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR Proposes a severity-weighted character error rate that charges text transcription errors based on their practical impact on reader understanding. Ranked #107New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates OCR transcription performance in vision-language models. | |
| Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap This work analyzes whether policy capability gaps or judge models dictate reward hacking when training models against language-model judges. Ranked #107Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Investigates judge hacking dynamics and the limits of LLM-as-a-judge. | |
| 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. Ranked #107New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Introduces a runtime control framework to detect and repair broken handoffs between agents in multi-agent systems. | |
| Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments The authors identify a derivation gap where LLM judges reject correct tool arguments lacking direct textual references, and propose a dedicated reference model. Ranked #107Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses reliability and verification of tool-call arguments in agent deployments. | |
| Spectral Weight Decay: Inducing Low-Rank Structure in Neural Network Weights Introduces a spectral weight decay update inducing low-rank weight matrices to improve SVD-based post-training model compression. Ranked #107Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Induces low-rank weight structure directly enabling post-training SVD compression and faster GPU inference for LLMs. | |
| Natural Language to First-Order Logic LLM-based Autoformalization The paper reviews LLM-based first-order logic autoformalization, distinguishing ontology extraction from logical translation and outlining key benchmarking challenges. Ranked #107New way to see a problemPreprint5/10 suggested | LLMs for code via arxiv · 12 Oct, 16:28 | On-topic Surveys autoformalization translating natural language into formal logic programs and specifications. | |
| CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report Generation Presents a two-stage visual-textual alignment and retrieval-augmented framework for generating structured radiology reports from medical scans. Ranked #107Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Integrates GraphRAG retrieval to ground radiology report generation in clinical knowledge. | |
| MultiAlloc: Budget-Aware Precision Allocation for KV Cache Quantization The paper presents a profiling-guided framework to allocate precision budgets adaptively across layers and tokens during KV cache quantization. Ranked #108Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Proposes budget-aware precision allocation for KV cache quantization to improve LLM inference efficiency. | |
| 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 #108New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a diagnostic benchmark for memory formation poisoning. | |
| Reliable Memory from Unstable Growth: Curating Self-Written Agent Playbooks with Randomized Experiments Presents a randomized experiment framework to test and curate self-written agent playbooks, preventing task failure caused by unverified lessons. Ranked #108New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Develops a randomized experimentation method to curate self-written playbooks for multi-step LLM agents. | |
| 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. |
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