Papers

• RAPTOR: Ridge-Adaptive Logistic Probes (2026)
  Ziqi Gao et al.
  1.94
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  1.94
• PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems (2026)
  Suraj Ranganath et al.
  1.94
• Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models (2025)
  Samira Abnar et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs (2025)
  Tin Nguyen et al.
  1.28
• MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs (2025)
  Zaid Alyafeai et al.
  1.28
• Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering (2025)
  Akash Gupta et al.
  1.28
• Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers (2025)
  Daniel D'souza et al.
  1.28
• Hybrid Attribution Priors for Explainable and Robust Model Training (2025)
  Zhuoran Zhang et al.
  1.28
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
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• DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI (2023)
  Jianguo Zhang et al.
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• RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models (2023)
  Jie Huang et al.
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• PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion (2023)
  Yiduo Guo et al.
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• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations (2023)
  Hakan Inan et al.
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• VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation (2023)
  Jinguo Zhu et al.
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• Generative Multimodal Models are In-Context Learners (2023)
  Quan Sun et al.
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• SymbolicAI: A framework for logic-based approaches combining generative models and solvers (2024)
  Marius-Constantin Dinu et al.
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• Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models (2024)
  Jianyuan Guo et al.
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• Large Scale Transfer Learning for Tabular Data via Language Modeling (2024)
  Josh Gardner et al.
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• Knowledge Composition using Task Vectors with Learned Anisotropic Scaling (2024)
  Frederic Z. Zhang et al.
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