Summary of Large Language Models Are Contrastive Reasoners, by Liang Yao
Large Language Models are Contrastive Reasonersby Liang YaoFirst submitted to arxiv on: 13 Mar 2024CategoriesMain:…
Large Language Models are Contrastive Reasonersby Liang YaoFirst submitted to arxiv on: 13 Mar 2024CategoriesMain:…
Can Large Language Models Automatically Score Proficiency of Written Essays?by Watheq Mansour, Salam Albatarni, Sohaila…
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniquesby Chen Li, Haotian Zheng, Yiping Sun,…
Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogueby Jian Wang, Dongding Lin, Wenjie LiFirst…
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answeringby Hongda Sun, Yuxuan Liu,…
Automatic and Universal Prompt Injection Attacks against Large Language Modelsby Xiaogeng Liu, Zhiyuan Yu, Yizhe…
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Modelsby Jun Xu, Mengshu Sun, Zhiqiang…
ConstitutionalExperts: Training a Mixture of Principle-based Promptsby Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler,…
ALTO: An Efficient Network Orchestrator for Compound AI Systemsby Keshav Santhanam, Deepti Raghavan, Muhammad Shahir…
Enhancing Court View Generation with Knowledge Injection and Guidanceby Ang Li, Yiquan Wu, Yifei Liu,…