Papers

• Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing (2026)
  Tommaso Cerruti et al.
  2.00
• Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math (2026)
  Dingjie Song et al.
  1.94
• ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling (2026)
  Yawen Luo et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems (2026)
  Shihao Qi et al.
  1.94
• ThriftAttention: Selective Mixed Precision for Long-Context FP4 Attention (2026)
  Joe Sharratt
  1.94
• EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts (2026)
  Danqin Zhao et al.
  1.94
• Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models (2025)
  Sina Tayebati et al.
  1.28
• IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)
  Jie Wu et al.
  1.28
• LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas (2025)
  Evgeny Markhasin
  1.28
• ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models (2025)
  Liyan Tang et al.
  1.28
• MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks (2025)
  Guiyao Tie et al.
  1.28
• VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos (2025)
  Tingyu Song et al.
  1.28
• Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMS (2025)
  Anand et al.
  1.28
• Thinking with Programming Vision: Towards a Unified View for Thinking with Images (2025)
  Zirun Guo et al.
  1.28
• Towards a Science of Scaling Agent Systems (2025)
  Yubin Kim et al.
  1.28
• EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models (2025)
  Zechen Bai et al.
  1.28
• PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion (2023)
  Yiduo Guo et al.
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• Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition (2024)
  Zijin Gu et al.
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• Are We Done with MMLU? (2024)
  Aryo Pradipta Gema et al.
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