Summary of Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracy, by Gioele Barabucci et al.
Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracyby Gioele Barabucci, Victor Shia, Eugene…
Combining Insights From Multiple Large Language Models Improves Diagnostic Accuracyby Gioele Barabucci, Victor Shia, Eugene…
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Databy Bo Peng, Xinyi…
Large Language Models “Ad Referendum”: How Good Are They at Machine Translation in the Legal…
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledgeby Norbert…
Lissard: Long and Simple Sequential Reasoning Datasetsby Mirelle Bueno, Roberto Lotufo, Rodrigo NogueiraFirst submitted to…
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasksby Kaya Stechly,…
Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision…
Secret Collusion among Generative AI Agentsby Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina,…
FinLLM-B: When Large Language Models Meet Financial Breakout Tradingby Kang Zhang, Osamu Yoshie, Lichao Sun,…
ChemLLM: A Chemical Large Language Modelby Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang…