Papers
2,781 papers found
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
Qianxi He, Qianyu He, Jiaqing Liang et al.
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
Cheng Liu, Yifei Lu, Fanghua Ye et al.
When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs
Ammar Khairi, Daniel D’souza, Ye Shen et al.
Scaling Low-Resource MT via Synthetic Data Generation with LLMs
Ona de Gibert, Joseph Attieh, Teemu Vahtola et al.
Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
Matteo Marcuzzo, Alessandro Zangari, Andrea Albarelli et al.
Pun Unintended: LLMs and the Illusion of Humor Understanding
Alessandro Zangari, Matteo Marcuzzo, Andrea Albarelli et al.
Unsupervised Concept Vector Extraction for Bias Control in LLMs
Hannah Cyberey, Yangfeng Ji, David Evans
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi et al.
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
Saad Obaid Ul Islam, Anne Lauscher, Goran Glavaš
Do LLMs Encode Frame Semantics? Evidence from Frame Identification
Jayanth Krishna Chundru, Rudrashis Poddar, Jie Cao et al.
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu et al.
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li, Sen Zhang, Samuel S. Sohn et al.
Where Confabulation Lives: Latent Feature Discovery in LLMs
Thibaud Ardoin, Yi Cai, Gerhard Wunder
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Amber Shore, Russell Scheinberg, Ameeta Agrawal et al.
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri, Shengguang Wu, Joon Sung Park et al.
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika et al.
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
Yao Fu, Xianxuan Long, Runchao Li et al.
Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation
Su-Hyeong Park, Ho-Beom Kim, Seong-Jin Park et al.
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
Varun Dhanraj, Chris Eliasmith
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
Demystifying Domain-adaptive Post-training for Financial LLMs
Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen et al.
HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong, Pristina Wang, Anjalie Field
Are Stereotypes Leading LLMs’ Zero-Shot Stance Detection ?
Anthony Dubreuil, Antoine Gourru, Christine Largeron et al.