Large Language Model
GT A: A Benchmark for General Tool Agents
Significant focus has been placed on integrating large language models (LLMs) with various tools in developing general-purpose agents.
Pricing and Competition for Generative AI
The prompt-based paradigm has fostered two recent human-AI interaction trends.
Panacea: Pareto Alignment via Preference Adaptation for LLMs
Panacea trains a single model capable of adapting online and Pareto-optimally to diverse sets of preferences without the need for further tuning.
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models Bowen Wang
Models like GPT -4 excel in medical question answering but may face challenges in the lack of interpretability when handling complex tasks in real clinical settings.
TableRAG: Million-Token Table Understanding with Language Models Si-An Chen
This enables more efficient data encoding and precise retrieval, significantly reducing prompt lengths and mitigating information loss. We have developed two new million-token benchmarks from the Arcade and BIRD-SQL datasets to thoroughly evaluate TableRAG's effectiveness at scale.
