Papers

• Image Generators are Generalist Vision Learners (2026)
  Valentin Gabeur et al.
  1.94
• τ-Rec: A Verifiable Benchmark for Agentic Recommender Systems (2026)
  Bharath Sivaram Narasimhan et al.
  1.94
• 3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance (2026)
  Dongyoon Hwang et al.
  1.94
• VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos (2025)
  Jiashuo Yu et al.
  1.28
• Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal (2025)
  Wenhao Zeng et al.
  1.28
• TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation (2025)
  Adam Filipek
  1.28
• The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation (2025)
  Farid Bagirov et al.
  1.28
• Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning (2025)
  Ming Chen et al.
  1.28
• Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types (2024)
  Neelabh Sinha et al.
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• Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis (2024)
  Hippolyte Gisserot-Boukhlef et al.
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• AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark (2024)
  Wenhao Chai et al.
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• MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models (2024)
  Peng Xia et al.
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