AI & Machine Learning · Computer Science & AI
Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 120
DealsFlow: An Evidence-Gated Agentic Harness for Venture Capital Deal Triage
Large language models (LLMs) can read startup pitch decks, but letting them emit investment scores directly invites score inflation, run-to-run variance and rationales that are hard to audit.PASTA: Prompt-Aware Annealed Diffusion Sampling
While Diffusion models produce high-quality images, real-world visual design requires intentionally preserving clean regions for headlines, logos, or UI elements.LeafSkill: Efficient Leaf-Level Action Grounding for Recursive LLM Agents
Recursive large language model (LLM) agents solve long-horizon tasks through decomposition, execution, and environmental feedback.Cycle-of-Thought: Self-Evaluative Iterative Reasoning for Table Visual Question Answering in Document Images
Recent advances in Vision-Language Models (VLMs) have significantly improved Visual Question Answering (VQA) performance, yet their reasoning over structured content such as tables remains…Async-RBench: Benchmarking Asynchronous Task Execution in LLM Agents
Large language model (LLM) agents increasingly execute tasks asynchronously: a main agent continues working while its subagents run, and the task state may change before their results arrive.When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning
A failed vision-language-action (VLA) rollout does not imply that every action contributed to failure.Decoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation
Pre-consultation medical dialogues are essential for collecting comprehensive patient information, but are costly to obtain at scale due to privacy and ethical constraints.POSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories
Training environments remain a major bottleneck for agents in data-driven scientific discovery.DIGOM: Disentangled Interaction Graphs for Outcome prediction in Multimodal healthcare
Multimodal healthcare data contain relational information that extends beyond individual patient observations.AutoMIL: Automated Multiple Instance Learning for Whole-Slide Image Classification
Developing multiple instance learning pipelines for the classification of whole-slide images involves many interdependent design decisions and expertise in both pathology and machine learning.Beyond Copying: Lifelong Smart Contract Security Task Construction via Protocol Mutation
AI agents can inspect code and run tests to support smart contract security.ALLMTS: Automated LLM-based Medical Triage System
Telephone triage is a safety critical task: from a brief intake note, a nurse must decide whether a caller needs an ambulance, an emergency department, an appointment, or self care at home.Beyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings
Advances in Multimodal Large Language Models (MLLMs) have driven substantial progress in multimodal embeddings.CauProphet: Teaching Agents to Develop Causal Cognition like Humans
Large language model (LLM) agents increasingly support long-horizon tasks by leveraging external memory and past experience.CASE: Confusion-Aware Skill Evolution for Frozen Multimodal Emotion Models
Multimodal large language models (MLLMs) have substantially advanced Multimodal Emotion Recognition (MER) by enabling fine-grained emotion understanding through reasoning over multimodal evidence.When Agents Fail: Model or Harness--Who's to Blame?
LLM agents combine models with execution harnesses, so agentic benchmark performance reflects their joint behavior.Efficient Zero-Shot Video Anomaly Detection via Signal-Aware Adaptive Fusion (SAAF)
Deploying Vision-Language Models for video anomaly detection confronts a fundamental constraint.MusicTwins: Training Audio-Language Models to Listen like Their Persona
People differ in how they perceive music, what associations they make with it, what they like about it, and how they respond to it.Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations
This paper examines speech characteristics of the Austrian National Council members (CMs).IGG: A Benchmark for Interactive GUI Grounding under Visibility Constraints
GUI grounding benchmarks ask whether an agent can localize a target that is already visible in a static screenshot.