Key papers

• MemSyco-Bench: Benchmarking Sycophancy in Agent Memory (2026)
  Zhishang Xiang et al.
  2.00
• Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes (2026)
  Chenye Meng et al.
  1.94
• RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation (2026)
  Sunzhu Li et al.
  1.94
• Your Group-Relative Advantage Is Biased (2026)
  Fengkai Yang et al.
  1.94
• DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems (2026)
  Maojun Sun et al.
  1.94
• AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context (2026)
  Lei Zhang et al.
  1.94
• Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles (2026)
  Shaohan Wang et al.
  1.94
• ContextBench: A Benchmark for Context Retrieval in Coding Agents (2026)
  Han Li et al.
  1.94
• ResearchGym: Evaluating Language Model Agents on Real-World AI Research (2026)
  Aniketh Garikaparthi et al.
  1.94
• The PokeAgent Challenge: Competitive and Long-Context Learning at Scale (2026)
  Seth Karten et al.
  1.94
• CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (2026)
  Chonghuinan Wang et al.
  1.94
• Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents (2026)
  Bowen Ye et al.
  1.94
• RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies (2026)
  Xuning Yang et al.
  1.94
• OmniScript: Towards Audio-Visual Script Generation for Long-Form Cinematic Video (2026)
  Junfu Pu et al.
  1.94
• The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm (2026)
  Karan Goyal
  1.94
• Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models (2026)
  Mohammed Safi Ur Rahman Khan et al.
  1.94
• Instruction-Guided Poetry Generation in Arabic and Its Dialects (2026)
  Abdelrahman Sadallah et al.
  1.94
• AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents (2026)
  Sharareh Younesian et al.
  1.94
• SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking (2026)
  Guohong Liu et al.
  1.94
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  1.94
• ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment (2026)
  Qiuyu Tian et al.
  1.94
• Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems (2026)
  Shaoyang Xu et al.
  1.94
• Benchmark Everything Everywhere All at Once (2026)
  Shiyun Xiong et al.
  1.94
• Precision Is Not Faithfulness: Coverage-Aware Evaluation of Grounded Generation with a Complete Oracle (2026)
  Juan S. Santillana
  1.94
• τ-Rec: A Verifiable Benchmark for Agentic Recommender Systems (2026)
  Bharath Sivaram Narasimhan et al.
  1.94
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation (2026)
  Arnav Kumar Jain et al.
  1.94
• Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation (2026)
  Atin Pothiraj et al.
  1.94
• Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs (2026)
  Fahd Seddik et al.
  1.94
• TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents (2026)
  Shoufa Chen et al.
  1.94
• UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks (2026)
  Zhekai Chen et al.
  1.94
• Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation (2026)
  Amin Karimi Monsefi et al.
  1.89
• OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding (2026)
  Ruixiang Zhao et al.
  1.89
• Diversed Model Discovery via Structured Table Discovery (2026)
  Zhengyuan Dong et al.
  1.89
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory (2026)
  Jiaqi Liu et al.
  1.83
• ATANT: An Evaluation Framework for AI Continuity (2026)
  Samuel Sameer Tanguturi
  1.83
• Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models (2026)
  Yunkai Zhang et al.
  1.83
• Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora (2026)
  Chenkai Pan et al.
  1.83
• ClawGym: A Scalable Framework for Building Effective Claw Agents (2026)
  Fei Bai et al.
  1.83
• TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios (2026)
  Yuanzhe Shen et al.
  1.72
• A3: Android Agent Arena for Mobile GUI Agents (2025)
  Yuxiang Chai et al.
  1.28
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models (2025)
  Samira Abnar et al.
  1.28
• FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces (2025)
  Zhenran Xu et al.
  1.28
• SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model (2025)
  Xun Liang et al.
  1.28
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• The Mirage of Model Editing: Revisiting Evaluation in the Wild (2025)
  Wanli Yang et al.
  1.28
• Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content (2025)
  Zicheng Zhang et al.
  1.28
• IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval (2025)
  Tingyu Song et al.
  1.28
• VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering (2025)
  Yanling Wang et al.
  1.28
• Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo (2025)
  Zachary Charles et al.
  1.28
• R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization (2025)
  Jingyi Zhang et al.
  1.28
• CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis (2025)
  Anjiang Wei et al.
  1.28
• KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language (2025)
  Yoonshik Kim et al.
  1.28
• A Unified Agentic Framework for Evaluating Conditional Image Generation (2025)
  Jifang Wang et al.
  1.28
• Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts (2025)
  Hanhua Hong et al.
  1.28
• R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training (2025)
  Albert Ge et al.
  1.28
• VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025)
  Tingyu Song et al.
  1.28
• Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design (2025)
  Lin Sun et al.
  1.28
• Audio-Aware Large Language Models as Judges for Speaking Styles (2025)
  Cheng-Han Chiang et al.
  1.28