Summary of Exploring the Llm Journey From Cognition to Expression with Linear Representations, by Yuzi Yan et al.
Exploring the LLM Journey from Cognition to Expression with Linear Representationsby Yuzi Yan, Jialian Li,…
Summary of Position: Foundation Agents As the Paradigm Shift For Decision Making, by Xiaoqian Liu et al.
Position: Foundation Agents as the Paradigm Shift for Decision Makingby Xiaoqian Liu, Xingzhou Lou, Jianbin…
Summary of Tokenization Matters! Degrading Large Language Models Through Challenging Their Tokenization, by Dixuan Wang et al.
Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenizationby Dixuan Wang, Yanda Li, Junyuan…
Summary of Compositional Few-shot Class-incremental Learning, by Yixiong Zou et al.
Compositional Few-Shot Class-Incremental Learningby Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan LiFirst submitted…
Summary of Reflectioncoder: Learning From Reflection Sequence For Enhanced One-off Code Generation, by Houxing Ren et al.
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generationby Houxing Ren, Mingjie Zhan, Zhongyuan…
Summary of Leveraging Small Language Models For Text2sparql Tasks to Improve the Resilience Of Ai Assistance, by Felix Brei et al.
Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistanceby Felix…
Summary of Empowering Character-level Text Infilling by Eliminating Sub-tokens, By Houxing Ren et al.
Empowering Character-level Text Infilling by Eliminating Sub-Tokensby Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng LiFirst…
Summary of Superpixelwise Low-rank Approximation Based Partial Label Learning For Hyperspectral Image Classification, by Shujun Yang et al.
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classificationby Shujun Yang, Yu Zhang,…
Summary of Llm-optic: Unveiling the Capabilities Of Large Language Models For Universal Visual Grounding, by Haoyu Zhao et al.
LLM-Optic: Unveiling the Capabilities of Large Language Models for Universal Visual Groundingby Haoyu Zhao, Wenhang…
Summary of Teii: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection, by Long Cheng et al.
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detectionby…