Summary of Cad-prompted Generative Models: a Pathway to Feasible and Novel Engineering Designs, by Leah Chong et al.
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designsby Leah Chong, Jude Rayan,…
Summary of Video-star: Self-training Enables Video Instruction Tuning with Any Supervision, by Orr Zohar et al.
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervisionby Orr Zohar, Xiaohan Wang, Yonatan Bitton,…
Summary of When Is the Consistent Prediction Likely to Be a Correct Prediction?, by Alex Nguyen et al.
When is the consistent prediction likely to be a correct prediction?by Alex Nguyen, Dheeraj Mekala,…
Summary of Automating Venture Capital: Founder Assessment Using Llm-powered Segmentation, Feature Engineering and Automated Labeling Techniques, by Ekin Ozince et al.
Automating Venture Capital: Founder assessment using LLM-powered segmentation, feature engineering and automated labeling techniquesby Ekin…
Summary of Are Large Language Models Strategic Decision Makers? a Study Of Performance and Bias in Two-player Non-zero-sum Games, by Nathan Herr et al.
Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player…
Summary of Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques, by Anar Yeginbergen and Maite Oronoz and Rodrigo Agerri
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniquesby Anar Yeginbergen, Maite Oronoz,…
Summary of Stoc-tot: Stochastic Tree-of-thought with Constrained Decoding For Complex Reasoning in Multi-hop Question Answering, by Zhenyu Bi et al.
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answeringby Zhenyu Bi,…
Summary of Raw Text Is All You Need: Knowledge-intensive Multi-turn Instruction Tuning For Large Language Model, by Xia Hou et al.
Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Modelby Xia…
Summary of Rvisa: Reasoning and Verification For Implicit Sentiment Analysis, by Wenna Lai et al.
RVISA: Reasoning and Verification for Implicit Sentiment Analysisby Wenna Lai, Haoran Xie, Guandong Xu, Qing…
Summary of Deciphering the Factors Influencing the Efficacy Of Chain-of-thought: Probability, Memorization, and Noisy Reasoning, by Akshara Prabhakar et al.
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoningby Akshara Prabhakar,…