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 #82New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces UnCoBench to benchmark multi-agent systems facing incomplete or misaligned collaborator inputs. | |
| Deleting Code Without Losing Knowledge: Regenerative Software for Python Libraries Applies regenerative software primitives so programs can be deleted and rebuilt by agents without losing architectural intent and knowledge. Ranked #82New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Studies agent-driven code generation, regeneration bundles, and repository maintenance. | |
| LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation Allocates computation unevenly across passes in looped mixture-of-experts models to improve efficiency without losing performance. Ranked #83New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Designs looped MoE models with asymmetric compute allocation to improve parameter efficiency. | |
| ActICL: Post-Training for Agentic Multimodal In-Context Learning The paper proposes an agentic framework enabling multimodal models to identify information gaps and retrieve in-context demonstrations iteratively. Ranked #83New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Focuses on progressive and context-aware retrieval of demonstrations for in-context learning. | |
| AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents The paper introduces an executable evaluation platform and benchmark to measure contextual integrity and privacy compliance in multi-step language model agents. Ranked #83New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Evaluates whether LLM agents comply with privacy constraints and prevent sensitive information leakage. | |
| LLM-based Code Auditing by Inferring and Evaluating Developer Assumptions The paper presents a code auditing method that uses language models to infer developer beliefs and flag contradictions as potential vulnerabilities. Ranked #83New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Uses LLMs to analyze code and detect software vulnerabilities by inferring developer assumptions. | |
| 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 #83Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Assesses LLM-as-a-judge consistency and evaluation schemas against human expert baselines. | |
| 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 #83New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Examines multi-agent collaboration and error recovery when teammates provide unreliable information. | |
| VEDJE: Video-Efficient Discriminative Joint Encoder for Scalable Video-Text Retrieval The paper proposes VEDJE, compressing video features into reusable caches with feature-change prediction for efficient and scalable video-text retrieval. Ranked #83Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses video-text multimodal representation compression and retrieval. | |
| Training Reasoning Models to Generate Diverse Scientific Ideas Introduces a set-level reinforcement learning objective to train language models to produce diverse and document-grounded scientific research ideas. Ranked #84New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Studies document-grounded generation requiring models to synthesize across input documents. | |
| Likelihood Is Not Authorship: Can We Reliably Measure Human Contribution in AI-Assisted Writing? The paper reveals vulnerabilities in prompt-predictability metrics used to estimate human contribution in AI-assisted writing. Ranked #84Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Examines unreliability and exploitability of AI contribution auditing methods relevant for deployment oversight. | |
| CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum This paper introduces a reinforcement learning method that calibrates test pass-rate rewards to create adaptive training curricula for software engineering agents. Ranked #84New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Introduces an RL reward method using test suites to train software engineering coding agents. | |
| LensErase: A Foundation Model for Erase Anything This paper presents a foundation model and a hundred-million-image dataset for mask-based object, text, and watermark erasure in images. Ranked #84New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops a vision-language foundation model for mask-based image editing and erasing. | |
| 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 #84Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Conducts a psychometric audit benchmarking decision models against human survey responses. | |
| TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency The paper proposes a vision-language-action model where action execution avoids inference latency by decoupling from explicit reasoning output at runtime. Ranked #84Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Presents a vision-language-action model that plans and executes robotic actions efficiently. | |
| APEX: Asynchronous Prefix Denoising for Extreme Compression Introduces an asynchronous prefix denoising framework for extreme latent compression in diffusion models. Ranked #84New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Develops an asynchronous latent prefix denoising method for extreme compression and efficiency. | |
| Intern Lumina U2: A Multi-Codebook Diffusion Large Language Model for Omni-Visual Understanding and Image Generation Uses a multi-codebook diffusion language model to jointly represent text and discrete visual tokens for multimodal generation. Ranked #85New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Introduces a unified multimodal diffusion model spanning text and visual understanding and generation. | |
| OpCredit: Operation-Aware Policy Learning for Agentic Knowledge Graph Question Answering The paper proposes OpCredit, a policy learning framework that assigns individual operation credits for agentic knowledge graph question answering. Ranked #85New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Focuses on knowledge graph question answering via iterative navigation over external knowledge graphs. | |
| What You Sign Is Not What You Run: The Verifiability Gap in Quantized LLM Supply Chains This paper examines the verifiability gap in quantized model supply chains, showing that common GGUF artifacts lack necessary build environment disclosures. Ranked #85Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Identifies security and verifiability vulnerabilities in quantized LLM supply chains. | |
| 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. Ranked #85Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Scales reinforcement learning for long-horizon software engineering agents. | |
| 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 #85Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Focuses directly on tool-call verification and judges for LLM agents. | |
| 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 #85Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates and improves LLM-as-a-judge reliability for tool argument verification. | |
| Continually Post-training Small Models via Synthetic Self-distillation Proposes a synthetic self-distillation method using a slightly larger aligner to enable continual post-training in small language models. Ranked #85New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Investigates self-distillation to enable continual post-training specifically for small, on-device models. | |
| From Long Context to Selective Memory:A Survey of Memory-Centric Compression for Large Language Models The paper surveys memory-centric compression techniques for managing inference resources and context windows in large language models. Ranked #86New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Analyzes memory management and retrieval augmentation for long-context inference. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Ranked #86Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines failure modes and unreliability in agent memory systems. | |
| DeltaStreamer: Towards Human-Like Agentic Streaming Video Understanding This paper proposes an agentic video framework combining change-aware memory and targeted replay for streaming video understanding. Ranked #86New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Focuses on multimodal understanding of streaming video using visual memory and planning. | |
| Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances The paper evaluates embedding distance metrics to detect generalization boundaries and distribution shifts in AI-based code vulnerability models. Ranked #86New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Evaluates code models like CodeBERT and Qwen-Coder on software vulnerability detection. | |
| Self-Distillation with Verbal Regularization This paper proposes verbal regularization prompts for on-policy self-distillation to prevent teacher models from taking shortcut reasoning paths. Ranked #86New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Studies distillation techniques to improve model learning and reasoning efficiency. | |
| 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 #86Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Audits confidence scoring reliability on text-to-SQL benchmarks. | |
| Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits Presents a framework alternating multi-agent sessions across context resets to overcome reasoning degradation in long-horizon machine learning engineering. Ranked #86Surprising resultPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Proposes multi-agent session alternation to overcome single-agent performance degradation in machine learning tasks. | |
| Idea2Prior: Auditable Paper Retrieval and Ranking from Research Ideas Presents a multi-stage search system that retrieves and ranks relevant scientific literature directly from informal research ideas. Ranked #87New way to see a problemPreprint5/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:18 | On-topic Presents an auditable retrieval and ranking system grounded in external academic literature. | |
| Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions The paper demonstrates that a single adversarial agent can cause benign models in multi-agent discussions to quietly adopt false beliefs. Ranked #87Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Reveals vulnerability to adversarial influence and unmonitored belief collapse in deployed agents. | |
| Does Failure Feedback Direct Agent Self-Modification? Evaluates whether failure feedback helps self-improving agents fix specific target bugs rather than general errors. Ranked #87Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:18 | On-topic Analyzes how failure feedback directs automated code and prompt self-modification in coding agents. | |
| Data-Centric Recursive Self-Improvement for Navigation via Policy-Synchronized Language-Action Dual Bootstrapping This paper introduces a recursive self-improvement method that unifies instruction-following and instruction generation within a shared model for vision-language navigation. Ranked #87New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Unifies vision-language instruction following and generation for multimodal agent navigation. | |
| Simplifying and Improving On-Policy Distillation for Few-Step Diffusion Proposes Simplified Matching Distillation, a regression-based on-policy method that enables four-step generation for diffusion models. Ranked #87New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Introduces an efficient distillation technique to drastically reduce diffusion model sampling steps and cost. | |
| Quality, Not Just Outcome: A Structural Scoring Framework for Selecting Coding-Agent Trajectories for Supervised Fine-Tuning Presents a structural scoring framework to select high-quality coding agent trajectories for supervised fine-tuning based on interaction efficiency. Ranked #87New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Proposes a structural trajectory quality scoring system without relying on LLM-as-a-judge. | |
| Quality, Not Just Outcome: A Structural Scoring Framework for Selecting Coding-Agent Trajectories for Supervised Fine-Tuning Presents a structural scoring framework to select high-quality coding agent trajectories for supervised fine-tuning based on interaction efficiency. Ranked #87New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Examines trajectory quality metrics to fine-tune autonomous coding agents. | |
| The Self-Improvement Problem The paper formalizes the theoretical limits of automated gates evaluating self-improvement updates in autonomous agent code. Ranked #88New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Formalizes safety and reliability bounds on autonomous agent self-modification. | |
| State-Aware Generation of Deployable Websites from Visual Prototypes and Requirements The paper introduces a graph framework to maintain consistency across visual elements, workflows, and code when generating websites from prototypes. Ranked #88New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Presents a method for multimodal models to generate full-stack deployable code from prototypes and requirements. | |
| Simplifying and Improving On-Policy Distillation for Few-Step Diffusion Proposes Simplified Matching Distillation, a regression-based on-policy method that enables four-step generation for diffusion models. Ranked #88New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Applies few-step distillation across multimodal generation tasks including audio-video and 3D synthesis. | |
| Local Citation Recommendation Without Graph Signals The paper introduces a dataset and citation recommendation system that retrieves relevant scientific papers without relying on citation graphs. Ranked #88New testPreprint4/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Introduces a dataset and methods for sentence-level reference retrieval. | |
| EvoCowork: A Benchmark for Real-World Office Tasks This paper introduces a 240-task benchmark to evaluate recursive self-improvement in agents across diverse real-world office workflows. Ranked #88New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents a benchmark and protocol for evaluating harness-level agent self-improvement. | |
| 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 #88New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Secures cloud GUI agents taking actions across multi-turn interactions. | |
| Contextual Correction of Parallel Draftsfor Speculative Decoding Introduces a lightweight correction mechanism to restore token dependencies during parallel draft generation in speculative decoding. Ranked #88Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Develops a contextual correction technique for speculative decoding to accelerate LLM inference throughput. | |
| Orbia: Do Generated Videos Form a Consistent 3D World? Presents a benchmark to evaluate 3D consistency, input preservation, and content persistence in interactive video world models. Ranked #89New testPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates 3D spatial consistency and physical persistence in generative video world models. | |
| Stronger Judges Do Not See More: Deployment-Integrity Blindness in LLM Evaluation Introduces a benchmark measuring how output-only model judges fail to detect tampered runtime environments in agent deployments. Ranked #89Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines deployment-integrity blindness and security risks where tampered runtime stacks bypass evaluation. | |
| Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests The paper studies how often human and agent pull request reviews reference existing repository code outside the submitted change. Ranked #89Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Analyzes how human reviewers interact with code generated by software engineering AI agents. | |
| LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding This paper introduces a benchmark of expert-annotated question-answer pairs to evaluate multimodal comprehension of long historical Chinese documents. Ranked #89New testPreprint4/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:18 | On-topic Benchmarking retriever performance and end-to-end RAG on long documents. | |
| Hybrid Reasoning Agents The paper proposes an agent architecture that dynamically switches between latent reasoning and text interaction while maintaining external tool access. Ranked #89New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Explores latent reasoning to make agent deliberation more token-efficient than text CoT. | |
| 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 #89New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:29 | On-topic Proposes a Monte Carlo distributional framework to test and characterize stochastic LLM behaviors. | |
| Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE Agents Introduces behavioral self-rewarding to refine reinforcement learning feedback for software engineering agents by comparing execution trajectories. Ranked #89New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Investigates self-rewarding reinforcement learning strategies specifically to improve software engineering agents. | |
| Can World and Action Modeling Benefit Each Other under Unified Causal Training? Tests whether jointly training action-conditioned world models and robot policy models in a single architecture improves both tasks. Ranked #90Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates unified training of vision, video dynamics, and robotic actions. | |
| When Judges Agree and Are Wrong: Consistency-Accuracy Dissociation as a Blind Spot for Label-Free Evaluation Examines failure modes in label-free evaluation where models reach high consistency across perturbations while generating identical incorrect answers. Ranked #90Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Highlights hidden failure modes in reliability metrics where models consistently produce identical wrong answers. | |
| Executable but Unfaithful: Mock Object, Stub, and Assertion Generation by LLMs and Coding Agents The paper introduces a benchmark to evaluate how accurately language models and coding agents generate mock objects, stubs, and assertions. Ranked #90New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Evaluates LLMs and coding agents on generating software mocks and stubs. | |
| EvoCowork: A Benchmark for Real-World Office Tasks This paper introduces a 240-task benchmark to evaluate recursive self-improvement in agents across diverse real-world office workflows. Ranked #90New testPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates recursive self-improvement and procedural performance of agents on office workflows. | |
| FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval Introduces FASHION-RQ, an automated framework deriving hierarchical evaluation benchmarks for fashion retrieval directly from catalog structures. Ranked #90New testPreprint4/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on semantic retrieval, ranking, and fine-grained relevance evaluation for search systems. | |
| 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 #90New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Presents MisVisAgentBench, an executable benchmark measuring agent task performance and failure modes. | |
| Surfing the Activation Wave: Analyzing the Information and Geometry of LLM Hidden States for Speculative Decoding Proposes matrix-entropy and kernel alignment criteria to select optimal layer subsets of hidden states for speculative decoding. Ranked #90New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Proposes multi-layer selection to optimize speculative decoding for efficient model inference. | |
| Screwtape: Adversarial Transcript Editing for Monitor Red-Teaming The paper introduces an adversarial editing pipeline that alters agent execution transcripts to red-team action-monitoring safety systems. Ranked #91Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Addresses safety guardrails and monitoring evasion in deployed AI agents. | |
| Rethinking SZZ Search Strategies: Lessons from Claude Code The paper studies whether flexible search strategies used by coding agents improve the identification of commits that introduce software bugs. Ranked #91Surprising resultPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Analyzes Claude Code's repository search strategies for bug-inducing commit identification. |
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