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1. Rope_with_LLM Rope_with_LLM Public

   [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concentrated in low-frequency dimensions across different attentio…

   Python 86 1

2. The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models Public

   [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correlation between the effectiveness of CoT and the length of reas…

   Jupyter Notebook 46 5

3. Luckfort/CD Luckfort/CD Public

   [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

   Python 82 5

4. Stockagent Stockagent Public

   [Preprint] Large Language Model-based Stock Trading in Simulated Real-world Environments

   Python 459 102

5. ProLLM ProLLM Public

   [COLM'24] We propose Protein Chain of Thought (ProCoT), which replicates the biological mechanism of signaling pathways as language prompts. It considers a signaling pathway as a protein reasoning …

   Python 70 7

6. Disentangling-Memory-and-Reasoning Disentangling-Memory-and-Reasoning Public

   [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.

   Python 80 3