Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
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2407.01370
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Published
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89
[paper] LLM
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MLGym: A New Framework and Benchmark for Advancing AI Research Agents
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SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
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Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
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S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
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InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback
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Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
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Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
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Robot Learning: A Tutorial
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