Summary of A Generative Marker Enhanced End-to-end Framework For Argument Mining, by Nilmadhab Das et al.
A Generative Marker Enhanced End-to-End Framework for Argument Miningby Nilmadhab Das, Vishal Choudhary, V. Vijaya…
Summary of Neural Gaffer: Relighting Any Object Via Diffusion, by Haian Jin et al.
Neural Gaffer: Relighting Any Object via Diffusionby Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli,…
Summary of Test-time Fairness and Robustness in Large Language Models, by Leonardo Cotta and Chris J. Maddison
Test-Time Fairness and Robustness in Large Language Modelsby Leonardo Cotta, Chris J. MaddisonFirst submitted to…
Summary of Sciriff: a Resource to Enhance Language Model Instruction-following Over Scientific Literature, by David Wadden et al.
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literatureby David Wadden, Kejian Shi,…
Summary of Coevol: Constructing Better Responses For Instruction Finetuning Through Multi-agent Cooperation, by Renhao Li et al.
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperationby Renhao Li, Minghuan Tan, Derek…
Summary of Towards Transparency: Exploring Llm Trainings Datasets Through Visual Topic Modeling and Semantic Frame, by Charles De Dampierre et al.
Towards Transparency: Exploring LLM Trainings Datasets through Visual Topic Modeling and Semantic Frameby Charles de…
Summary of Prototypical Reward Network For Data-efficient Rlhf, by Jinghan Zhang et al.
Prototypical Reward Network for Data-Efficient RLHFby Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao…
Summary of Should We Fine-tune or Rag? Evaluating Different Techniques to Adapt Llms For Dialogue, by Simone Alghisi et al.
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogueby Simone Alghisi,…
Summary of Interpretability Of Language Models Via Task Spaces, by Lucas Weber et al.
Interpretability of Language Models via Task Spacesby Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke HupkesFirst…
Summary of Inverse Constitutional Ai: Compressing Preferences Into Principles, by Arduin Findeis et al.
Inverse Constitutional AI: Compressing Preferences into Principlesby Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie,…