Summary of Learning the Latent Rules Of a Game From Data: a Chess Story, by Ben Fauber
Learning the Latent Rules of a Game from Data: A Chess Storyby Ben FauberFirst submitted…
Summary of Synco: Synthetic Hard Negatives For Contrastive Visual Representation Learning, by Nikolaos Giakoumoglou et al.
SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learningby Nikolaos Giakoumoglou, Tania StathakiFirst submitted to…
Summary of Collective Critics For Creative Story Generation, by Minwook Bae et al.
Collective Critics for Creative Story Generationby Minwook Bae, Hyounghun KimFirst submitted to arxiv on: 3…
Summary of Iot-llm: Enhancing Real-world Iot Task Reasoning with Large Language Models, by Tuo An et al.
IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Modelsby Tuo An, Yunjiao Zhou, Han…
Summary of Strong Preferences Affect the Robustness Of Preference Models and Value Alignment, by Ziwei Xu et al.
Strong Preferences Affect the Robustness of Preference Models and Value Alignmentby Ziwei Xu, Mohan KankanhalliFirst…
Summary of Revealing the Inherent Instructability Of Pre-trained Language Models, by Seokhyun An et al.
Revealing the Inherent Instructability of Pre-Trained Language Modelsby Seokhyun An, Minji Kim, Hyounghun KimFirst submitted…
Summary of Recurrent Few-shot Model For Document Verification, by Maxime Talarmain et al.
Recurrent Few-Shot model for Document Verificationby Maxime Talarmain, Carlos Boned, Sanket Biswas, Oriol RamosFirst submitted…
Summary of Mixed-session Conversation with Egocentric Memory, by Jihyoung Jang et al.
Mixed-Session Conversation with Egocentric Memoryby Jihyoung Jang, Taeyoung Kim, Hyounghun KimFirst submitted to arxiv on:…
Summary of Dog-iqa: Standard-guided Zero-shot Mllm For Mix-grained Image Quality Assessment, by Kai Liu et al.
Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessmentby Kai Liu, Ziqing Zhang, Wenbo Li,…
Summary of Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights From Multi-agent Collaboration, by Weikang Yuan et al.
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaborationby…