Summary of Improving Small-scale Large Language Models Function Calling For Reasoning Tasks, by Graziano A. Manduzio et al.
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasksby Graziano A. Manduzio, Federico A.…
Summary of Reversal Of Thought: Enhancing Large Language Models with Preference-guided Reverse Reasoning Warm-up, by Jiahao Yuan et al.
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-upby Jiahao Yuan, Dehui…
Summary of Increasing the Difficulty Of Automatically Generated Questions Via Reinforcement Learning with Synthetic Preference, by William Thorne et al.
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preferenceby William Thorne,…
Summary of The Accuracy Paradox in Rlhf: When Better Reward Models Don’t Yield Better Language Models, by Yanjun Chen et al.
The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Modelsby Yanjun…
Summary of Codepmp: Scalable Preference Model Pretraining For Large Language Model Reasoning, by Huimu Yu et al.
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoningby Huimu Yu, Xing Wu, Weidong…
Summary of Seeing Eye to Ai: Human Alignment Via Gaze-based Response Rewards For Large Language Models, by Angela Lopez-cardona and Carlos Segura and Alexandros Karatzoglou and Sergi Abadal and Ioannis Arapakis
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Modelsby Angela…
Summary of The Phenomenology Of Machine: a Comprehensive Analysis Of the Sentience Of the Openai-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and Ai Architectures, by Victoria Violet Hoyle
The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating…
Summary of Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimization, by Ruijie Xu et al.
Just Say What You Want: Only-prompting Self-rewarding Online Preference Optimizationby Ruijie Xu, Zhihan Liu, Yongfei…
Summary of Post-hoc Reward Calibration: a Case Study on Length Bias, by Zeyu Huang et al.
Post-hoc Reward Calibration: A Case Study on Length Biasby Zeyu Huang, Zihan Qiu, Zili Wang,…