The collection for the Paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
Xinyu Zhu
TianHongZXY
AI & ML interests
Large Language Models; Reasoning; Reinforcement Learning
Recent Activity
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paper
26 days ago
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
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paper
2 months ago
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
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a model
2 months ago
TianHongZXY/Qwen3-4B-NSR
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TianHongZXY/Qwen3-4B-NSR
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TianHongZXY/Qwen3-4B-Thinking-2507-SFT-10-epochs-synthesized-clear-problems-global_step_280
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TianHongZXY/Qwen2.5-Math-7B-GRPO
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TianHongZXY/OpenR1-Math-46k-8192-Qwen2.5-Math-7B-RoPE-40K-GRPO-use_guide-clip_ratio_upper_0.28
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TianHongZXY/OpenR1-Math-46k-8192-Qwen2.5-7B-Instruct-GRPO-clip_0.28
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TianHongZXY/OpenR1-Math-46k-8192-Qwen2.5-7B-Instruct-GRPO-gpt-4o-summary_wo_think-clip_0.28
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TianHongZXY/Qwen2.5-Math-7B-W-REINFORCE
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TianHongZXY/Qwen3-4B-GRPO
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TianHongZXY/similar_problems_with_three_in_context_problems
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TianHongZXY/Top_5_similar_question-NVIDIA-OpenScienceReasoning-2
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TianHongZXY/amc23
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TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_1500_to_1600
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TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_4900_to_5000
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TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_4800_to_4900
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TianHongZXY/MATH-test-Tulu-3-8B-SFT-beam_search-completions-temp_0.8-range_4700_to_4800
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