Summary of Sc-phi2: a Fine-tuned Small Language Model For Starcraft Ii Macromanagement Tasks, by Muhammad Junaid Khan and Gita Sukthankar
SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasksby Muhammad Junaid Khan, Gita…
Summary of Propainsight: Toward Deeper Understanding Of Propaganda in Terms Of Techniques, Appeals, and Intent, by Jiateng Liu et al.
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intentby Jiateng Liu,…
Summary of A Review Of Mechanistic Models Of Event Comprehension, by Tan T. Nguyen
A Review of Mechanistic Models of Event Comprehensionby Tan T. NguyenFirst submitted to arxiv on:…
Summary of Systematic Characterization Of the Effectiveness Of Alignment in Large Language Models For Categorical Decisions, by Isaac Kohane
Systematic Characterization of the Effectiveness of Alignment in Large Language Models for Categorical Decisionsby Isaac…
Summary of Controlled Llm-based Reasoning For Clinical Trial Retrieval, by Mael Jullien and Alex Bogatu and Harriet Unsworth and Andre Freitas
Controlled LLM-based Reasoning for Clinical Trial Retrievalby Mael Jullien, Alex Bogatu, Harriet Unsworth, Andre FreitasFirst…
Summary of Pay Attention to What Matters, by Pedro Luiz Silva et al.
Pay Attention to What Mattersby Pedro Luiz Silva, Antonio de Domenico, Ali Maatouk, Fadhel AyedFirst…
Summary of Multimodal Markup Document Models For Graphic Design Completion, by Kotaro Kikuchi et al.
Multimodal Markup Document Models for Graphic Design Completionby Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar…
Summary of Lost in the Logic: An Evaluation Of Large Language Models’ Reasoning Capabilities on Lsat Logic Games, by Saumya Malik
Lost in the Logic: An Evaluation of Large Language Models’ Reasoning Capabilities on LSAT Logic…
Summary of Elephant in the Room: Unveiling the Impact Of Reward Model Quality in Alignment, by Yan Liu et al.
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignmentby Yan Liu,…
Summary of Meta-rtl: Reinforcement-based Meta-transfer Learning For Low-resource Commonsense Reasoning, by Yu Fu et al.
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoningby Yu Fu, Jie He, Yifan Yang, Qun…