Key papers

• OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment (2026)
  Ming Zhang et al.
  6.91
• WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks (2026)
  Hao Bai et al.
  1.94
• The PokeAgent Challenge: Competitive and Long-Context Learning at Scale (2026)
  Seth Karten et al.
  1.94
• ATANT: An Evaluation Framework for AI Continuity (2026)
  Samuel Sameer Tanguturi
  1.83
• MAIC-UI: Making Interactive Courseware with Generative UI (2026)
  Shangqing Tu et al.
  1.83
• Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA (2026)
  Ummar Abbas et al.
  1.78
• Competitive Programming with Large Reasoning Models (2025)
  OpenAI et al.
  1.28
• ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering (2025)
  Kaisi Guan et al.
  1.28
• Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding (2025)
  Tao Zhang et al.
  1.28
• Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization (2025)
  Mingzhe Du et al.
  1.28
• MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning (2025)
  Run-Ze Fan et al.
  1.28
• Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings (2025)
  Alexia Jolicoeur-Martineau
  1.28
• Are We on the Right Way for Assessing Document Retrieval-Augmented Generation? (2025)
  Wenxuan Shen et al.
  1.28
• AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving (2025)
  Zhitian Xie et al.
  1.28
• End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning (2025)
  Qiaoyu Zheng et al.
  1.28
• Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval (2025)
  Xiaojun Wu et al.
  1.28
• From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning (2025)
  Cheng Yang et al.
  1.28
• TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis (2025)
  Haokun Zhao et al.
  1.28
• AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning (2025)
  Zhanke Zhou et al.
  1.28
• Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model (2025)
  Ling Team et al.
  1.28
• Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models (2025)
  NaHyeon Park et al.
  1.28
• Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics (2025)
  Jingdi Lei et al.
  1.28
• InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation (2023)
  Yi Wang et al.
  —
• Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale (2024)
  Rogerio Bonatti et al.
  —
• HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale (2024)
  Huy Nhat Phan et al.
  —
• NVILA: Efficient Frontier Visual Language Models (2024)
  Zhijian Liu et al.
  —
• TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation (2024)
  Jiatong Li et al.
  —