Summary of The Pitfalls and Promise Of Conformal Inference Under Adversarial Attacks, by Ziquan Liu et al.
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacksby Ziquan Liu, Yufei Cui, Yan…
Summary of Memory-space Visual Prompting For Efficient Vision-language Fine-tuning, by Shibo Jie et al.
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuningby Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng,…
Summary of Eratta: Extreme Rag For Table to Answers with Large Language Models, by Sohini Roychowdhury et al.
ERATTA: Extreme RAG for Table To Answers with Large Language Modelsby Sohini Roychowdhury, Marko Krema,…
Summary of Language-image Models with 3d Understanding, by Jang Hyun Cho et al.
Language-Image Models with 3D Understandingby Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue…
Summary of Evaluating Large Language Models For Material Selection, by Daniele Grandi et al.
Evaluating Large Language Models for Material Selectionby Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon…
Summary of Overconfidence Is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-language Models, by Tobias Groot and Matias Valdenegro-toro
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Modelsby Tobias Groot, Matias…
Summary of Analyzing the Role Of Semantic Representations in the Era Of Large Language Models, by Zhijing Jin et al.
Analyzing the Role of Semantic Representations in the Era of Large Language Modelsby Zhijing Jin,…
Summary of Cactus: Chemistry Agent Connecting Tool-usage to Science, by Andrew D. Mcnaughton et al.
CACTUS: Chemistry Agent Connecting Tool-Usage to Scienceby Andrew D. McNaughton, Gautham Ramalaxmi, Agustin Kruel, Carter…
Summary of Towards Generalizable Agents in Text-based Educational Environments: a Study Of Integrating Rl with Llms, by Bahar Radmehr et al.
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMsby Bahar…
Summary of Geollm-engine: a Realistic Environment For Building Geospatial Copilots, by Simranjit Singh et al.
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilotsby Simranjit Singh, Michael Fore, Dimitrios StamoulisFirst submitted…