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 |
|---|---|---|---|
| InfoVis: Unified Slide Image Generation and Editing The paper introduces InfoVis, a 9B multimodal model along with a benchmark and training dataset for slide image generation and editing. Ranked #91New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Unifies text rendering, visual grounding, and image generation for slides. | |
| JevGPT: Thinking Fast and Slow in Autonomous Research JevGPT combines fast local evidence assessments with deliberative planning to improve autonomous research agents operating under fixed retrieval budgets. Ranked #91Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Couples fast evidence retrieval with deliberative integration over external document passages. | |
| DataSense-Bench: The First Step Toward an AI Scientist The paper introduces DataSense-Bench to evaluate whether AI agents can select and rank effective training data subsets for fine-tuning. Ranked #91New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:29 | On-topic Proposes a new benchmark evaluating AI agents on selecting training data for fine-tuning. | |
| Rethinking Relative Policy Differences Transfer of On-Policy Distillation Formulates relative policy difference transfer as an implicit reward in KL-regularized optimization for flexible on-policy knowledge distillation. Ranked #91Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:29 | On-topic Analyzes on-policy distillation to effectively transfer capabilities from teacher models to smaller targets. | |
| 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 #91New testPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Directly assesses autonomous Web agents executing multi-step browsing and reasoning workflows. | |
| INFUSE: A Unified Surface Benchmark for Indirect Prompt Injection in Agentic Systems The paper introduces an end-to-end benchmark to evaluate indirect prompt injection risks across long-horizon agent workflows. Ranked #92New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Benchmarks indirect prompt injection attacks against LLM agents across diverse execution surfaces. | |
| Agentic Evolution of SQL Test Generators The authors use coding agents and execution validation to add new database dialect features into reusable database test generators. Ranked #92New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Uses coding agents with witness replay to evolve DBMS test generators. | |
| Latent World Action Model for GUI Agents The paper presents a latent world action model that predicts action-induced state transitions rather than full-screen pixel reconstructions for graphical agents. Ranked #92New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Leverages large multimodal models for visual GUI screen understanding and action modeling. | |
| When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare The paper benchmarks how caregiver-directed language models compromise medical advice when users express clinically inferior care preferences. Ranked #92Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an evidence-grounded benchmark to measure LLM sycophancy when facing harmful user preferences. | |
| PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces Presents a multi-agent framework that decouples research planning, subquestion investigation, and factual verification via a shared semantic workspace. Ranked #92Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on deep research workflows involving multi-step search, retrieval, and evidence checking. | |
| Ask Your Advisor: Learning When to Consult Stronger Models in Agentic Systems Develops a reinforcement-learned meta-controller for execution agents to decide when to consult stronger advisor language models cost-effectively. Ranked #92New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:29 | On-topic Studies executor-advisor coordination and dynamic consultation in LLM agent workflows. | |
| One Model to Loop Them All: Elastic Latent Recurrence for Language Models Presents a training method for latent recurrent language models that avoids performance penalties at single loops while scaling with compute. Ranked #92Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 12 Oct, 16:28 | On-topic Proposes Elastic Latent Recurrence to dynamically trade inference compute for accuracy without latency penalties. | |
| Velox: Spatial Memory Makes World Models Efficient Introduces a geometry-based attention router that selects visual memory contexts to speed up chunked video world model generation. Ranked #93Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Improves long-rollout efficiency in generative video world models using spatial memory routing. | |
| Making every stage of medical device document assessment with large language models deterministic The paper evaluates output non-determinism in commercial language model deployments during medical device regulatory compliance assessments. Ranked #93Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Investigates reproducibility and reliability failures of LLMs in high-stakes regulatory compliance deployments. | |
| LLMs program using Reusable and Composable Abstract Representations The paper demonstrates that language models use modular abstract representations to generalize code generation across different programming languages and strategies. Ranked #93New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Investigates abstract, reusable representations in LLMs during code generation and cross-language transfer. | |
| Joint Subspace Sparse Attention for Efficient Long-Context Decoding The paper introduces a token-level sparse attention method using a learned query-key subspace and an indexed kernel to accelerate long-context decoding. Ranked #93New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Presents a sparse attention method and kernel to improve long-context decoding efficiency. | |
| From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering The paper describes a modular software backend architecture for extracting energy domain information and answering grounded questions from web sources. Ranked #93Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Presents an executable backend for grounded question answering from corpus. | |
| AgentStripes: An Evidence-Graded Maturity Model for AI Agents The paper introduces a maturity model that grades artificial intelligence agents across multiple capability levels, evidence stages, and safety gates. Ranked #93New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Proposes AgentStripes, a formal maturity framework and grading methodology for AI agents. | |
| When AI Advisors Agree: Distinguishing Forecast Risk from Forecast Reliability Analyzes archived financial forecasts from multi-model systems to distinguish consensus reliability from baseline underlying asset volatility. Ranked #93Surprising resultPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:29 | On-topic Examines multi-LLM advisor agreement, forecast reliability, and risk in real-world deployment. | |
| From Detection to Decision: Calibration and Deferral for Prompt-Injection Detection Evaluates probability calibration and operational allow-block-defer policies for prompt-injection detectors under distribution shifts. Ranked #94Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Evaluates calibration and deferral policies for prompt-injection detection systems. | |
| Rethinking the Role of Tool Graph Memory in Multi-Turn Tool Use The authors analyze tool graph memory in multi-turn agents and find that stored transitions provide little benefit over baselines. Ranked #94Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Analyzes and re-evaluates tool use benchmarks across nine different models. | |
| SWE-Nexus: Automated Composition of Software Engineering Tasks from Test Execution The paper introduces an automated pipeline that builds repository-level software engineering benchmarks from test execution footprints. Ranked #94New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Constructs repository-level software engineering benchmarks from test execution. | |
| Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards This paper investigates gradient spectral properties during reinforcement learning with verifiable rewards to design an adaptive-rank optimizer for reasoning models. Ranked #94New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Introduces an adaptive low-rank optimizer that exploits low-dimensional gradient structure during training. | |
| How Do Hardware Faults Manifest Differently in LLM Agents? Analyzes how random hardware bit faults propagate and manifest across multi-step LLM agent workflow executions. Ranked #94Surprising resultPreprint7/10 suggested | AI agents via arxiv · 12 Oct, 16:29 | On-topic Evaluates the resilience and failure behavior of tool-using LLM agents under hardware faults. | |
| SPARQL-LLM in the TEXT2SPARQL 2026 Challenge Presents SPARQL-LLM, a multilingual natural language to SPARQL question answering system evaluated in the TEXT2SPARQL 2026 challenge. Ranked #94Peer-reviewed0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:29 | On-topic Deals with querying distributed knowledge graphs using LLMs for external knowledge question answering. | |
| DataVista: Diagnosing Multimodal LLMs on Data Video Understanding Introduces a benchmark evaluating multimodal language models on extracting data, tracking narrative flows, and answering questions from animated data videos. Ranked #94New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Directly assesses multimodal LLMs on animated charts combining visual data, time, and narrative text. | |
| The Code of Theseus: Can Agents Rebuild Software from Recovered Design Documents? The paper extracts software requirements and architecture from code repositories and tests whether language agents can reconstruct projects from them. Ranked #95New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:07 | On-topic Evaluates coding agents rebuilding software from recovered design artefacts and requirements. | |
| GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning Presents a large graphical user interface grounding dataset and a combined distillation and reinforcement learning training method for agents. Ranked #95New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Develops a multimodal vision-language model and dataset for grounded understanding of screen images. | |
| FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention The paper presents an expressive and distributed attention kernel that compresses structured attention masks to enable efficient context parallelism on Hopper GPUs. Ranked #95New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Designs an efficient mask-aware distributed attention kernel to accelerate long-context training and serving. | |
| Natural Code Transformation Confuses Agents in Vulnerability Analysis The study reports that natural code transformations confuse vulnerability analysis agents, proposing functional changes as a potential defensive strategy. Ranked #95Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes how code transformations confuse LLM agents during vulnerability analysis. | |
| Humans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering This paper benchmarks language model agents against skilled humans on binary software reverse engineering tasks using interactive tools. Ranked #95Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Compares human analysts against multiple LLM models on standardized software engineering challenges. | |
| Thinking Inertia: LLMs Keep Thinking When Told Not To The paper defines evaluation metrics to show that language models continue generating reasoning traces even when instructed not to think. Ranked #95Surprising resultPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Evaluates model unreliability and instruction-following failure when explicitly instructed not to run reasoning traces. | |
| ILM: An AI-Powered Storytelling Educational Tool The paper introduces an educational tool combining Arabic knowledge graphs and passage retrieval to generate narrative-based questions. Ranked #95Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Combines knowledge graph extraction with passage retrieval to ground question generation and answering. | |
| OS-Bench: Evaluating SWE Agents on Cross-OS Code Migration This paper introduces a benchmark to evaluate software engineering language agents on migrating code between Linux and Windows. Ranked #96New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 15:07 | On-topic Introduces a benchmark evaluating software engineering agents on cross-OS code migration. | |
| The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation This paper introduces COUNT, scaling language model memory without training parameters by storing precomputed n-gram counts directly in host memory. Ranked #96Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Enables memory-efficient LM scaling by storing precomputed n-gram embeddings in host memory. | |
| Efficient Scene-Text Refinement via Pixel-Space Grouped Image Generation Introduces PixText, a pixel-space grouped generation model for efficient localized text correction in generated images. Ranked #96New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal scene-text refinement combining visual layout preservation and OCR accuracy. | |
| Agent-Reflex: Teaching Language Agents to Act Reflectively The paper introduces Agent-Reflex, a training framework designed to teach language agents how to reflect and recover from noisy environment feedback. Ranked #96New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves agent reliability and error recovery when encountering noisy tool feedback. | |
| Unconstrained CTI-REALM with Open-Weights This paper evaluates open-weight language models against closed frontier models on a cybersecurity detection benchmark using an interactive telemetry environment. Ranked #96Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Analyzes benchmark constraints and evaluation artifacts in the CTI-REALM benchmark. | |
| Which Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions The authors run controlled experiments showing how parameter schema differences in metadata alter language model tool selection. Ranked #96Surprising resultPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Investigates how tool metadata schemas affect LLM agent tool selection. | |
| Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval The paper presents a framework that jointly learns query rule assignment and rule-constrained evidence retrieval over structured knowledge bases. Ranked #96Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Proposes a co-adaptive rule routing framework to retrieve structured knowledge from external bases. | |
| Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching Proves theoretically that self-conditioning enables genuine multi-step reasoning in flow matching where standard samplers fail. Ranked #97Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Studies visual reasoning and generation capabilities within deep generative flow matching architectures. | |
| Latent Compaction with Test-Time Training Compresses long-context key-value caches using test-time training on generic document prompts without task-specific labels. Ranked #97New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Compresses KV caches through test-time training, substantially improving memory and inference efficiency. | |
| When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles The authors introduce tool-grounded requirement profiles to audit and stabilize how register-transfer-level code generation is evaluated. Ranked #97New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:19 | On-topic Audits evaluation stability and requirements enforcement for automated register-transfer level code generation. | |
| When Does an ASR Error Matter? Task-Role Diagnostics for Tool-Using Voice Agents The paper introduces a diagnostic protocol to evaluate how speech recognition errors affect structured tool calling in voice agents. Ranked #97New testPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces SpeechEvalX, a diagnostic evaluation protocol for assessing tool-calling robustness to speech errors. | |
| Legal-R1: Agentic Retrieval for Evidence-Based Legal Reasoning This paper introduces a multi-agent retrieval framework that coordinates search across legal statutes and precedent cases for grounded legal reasoning. Ranked #97Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Introduces an agentic RAG framework for legal evidence retrieval, selection, and grounded reasoning. | |
| Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs The paper demonstrates a hybrid architecture where cloud-generated agent code delegates localized private-data queries to edge models. Ranked #97New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates hybrid cloud-edge agent architectures combining planned programs with local execution. | |
| Self-Evolving Agent Harness The paper formalizes a framework and theoretical generalization bounds for evolving an agent's software harness without updating model weights. Ranked #97New way to see a problemPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates safety, regression budgets, and admission validation for self-evolving agents in deployment. | |
| CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance Proposes a dual-loop harness augmenting frozen robot policies with persistent user preferences and proactive safety assurance. Ranked #98New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Augments vision-language-action multimodal policies for reliable personalized robotic manipulation. | |
| Memory as Weights: Internalizing Long-Term History for Streaming Videos The paper compresses video history into evolving lightweight model weights instead of competing for limited input context length. Ranked #98New way to see a problemPreprint6/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Reduces context overhead in streaming video inference using lightweight recurrent LoRA updates. | |
| DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision The paper introduces a benchmark evaluating the robustness of typed decision models against text, image, and prompt injection attacks. Ranked #98New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Benchmarks adversarial attacks and prompt injection across modalities to assess deployment reliability. | |
| 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 #98Surprising resultPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Constructs a benchmark using counterfactual scenes to evaluate knowledge leakage in role-play models. | |
| RALI@iKAT 2026: Retrieval-aware User Profile Denoising via Personalized Conversational Dense Retrieval The paper presents a retrieval-aware denoising method for conversational user profiles to improve personalized dense retrieval. Ranked #98Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on personalized dense retrieval and query profile denoising for conversational search systems. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Ranked #98New testPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates LLMs formalizing requirements into code and formal specifications. | |
| AgentStripes: An Evidence-Graded Maturity Model for AI Agents The paper introduces a maturity model that grades artificial intelligence agents across multiple capability levels, evidence stages, and safety gates. Ranked #98New way to see a problemPreprint7/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Defines a maturity model evaluating AI agent engineering controls, observability, and processes. | |
| Rethinking the Role of Tool Graph Memory in Multi-Turn Tool Use The authors analyze tool graph memory in multi-turn agents and find that stored transitions provide little benefit over baselines. Ranked #99Surprising resultPreprint7/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Investigates multi-turn tool use and memory mechanisms in LLM agents. | |
| Unlocking Structured Pruning for Reasoning Language Models via Attention-Preserving MLP Trimming The paper proposes a training-free structured pruning method that trims multilayer perceptron layers while preserving attention mechanisms for reasoning tasks. Ranked #99Surprising resultPreprint6/10 suggested | Small and efficient models via arxiv · 15 Oct, 15:06 | On-topic Introduces a structured pruning method to reduce inference latency and memory in language models. | |
| $τ$-Emotion-Bench: Exposing the Interaction Fragility of LLM Agents through Real-World User Emotions The paper introduces a benchmark to measure how tool-calling agents perform when interacting with emotionally varied, impatient users. Ranked #99New testPreprint7/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Exposes interaction fragility and reliability issues when deploying agents with non-ideal human users. | |
| 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 #99New way to see a problemPreprint7/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Focuses on overcoming the evaluation bottleneck using proxy evaluators and fidelity checks. | |
| UMCR: Universal Medical Concept Recognition through Guideline Integration and Agentic Linking The paper introduces a framework combining guidelines and agentic linking to ground medical concepts across diverse text types and ontologies. Ranked #99Preprint0/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Grounds medical text spans into external ontologies, reducing dependence on parametric memory. | |
| Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents The paper presents an evolutionary search method that generates small, high-quality test suites to verify code rewrites in self-evolving agents. Ranked #99New way to see a problemPreprint6/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Focuses on generating test suites to verify and repair code written by models. |
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