Summary of Understanding In-context Learning with a Pelican Soup Framework, by Ting-rui Chiang et al.
Understanding In-Context Learning with a Pelican Soup Frameworkby Ting-Rui Chiang, Dani YogatamaFirst submitted to arxiv…
Understanding In-Context Learning with a Pelican Soup Frameworkby Ting-Rui Chiang, Dani YogatamaFirst submitted to arxiv…
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Datasetby…
FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learningby Jia Zou, Xiaokai Zhang, Yiming…
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuningby Yejie Wang, Keqing…
Spectral Filters, Dark Signals, and Attention Sinksby Nicola CanceddaFirst submitted to arxiv on: 14 Feb…
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skillby Sangwoo Shin, Daehee Lee, Minjong Yoo,…
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasksby Kaya Stechly,…
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptationby Sangwoo Shin, Minjong Yoo, Jeongwoo…
ChemLLM: A Chemical Large Language Modelby Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang…
ScreenAI: A Vision-Language Model for UI and Infographics Understandingby Gilles Baechler, Srinivas Sunkara, Maria Wang,…