Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysisby Shiho Matta, Yin Jou…
Large Language Models as Code Executors: An Exploratory Studyby Chenyang Lyu, Lecheng Yan, Rui Xing,…
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learningby Hao Ma,…
On Instruction-Finetuning Neural Machine Translation Modelsby Vikas Raunak, Roman Grundkiewicz, Marcin Junczys-DowmuntFirst submitted to arxiv…
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narrativesby Xinliang Frederick Zhang, Nick…
TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokensby…
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answeringby Siqiao Xue, Tingting Chen, Fan…
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systemsby Zhentao Xie, Jiabao Zhao,…
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosisby Amey Hengle,…
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generationby Jing Yang, Anderson RochaFirst…