:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Bing, Liu, Jianing, Jian, Sisi, Wu, Chenyang, Dixit, Vinayak
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.23107
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can LLMs Capture Human Preferences?
by: Goli, Ali, et al.
Published: (2023)

Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
by: Ni, Jingwei, et al.
Published: (2025)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciences
by: Koneru, Sai, et al.
Published: (2023)

Break the Chain: Large Language Models Can be Shortcut Reasoners
by: Ding, Mengru, et al.
Published: (2024)

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

Capturing Individual Human Preferences with Reward Features
by: Barreto, André, et al.
Published: (2025)

Risks of Cultural Erasure in Large Language Models
by: Qadri, Rida, et al.
Published: (2025)

The Script Tax: Measuring Tokenization-Driven Efficiency and Latency Disparities in Multilingual Language Models
by: Dixit, Aradhya, et al.
Published: (2026)

Can Large Language Models Simulate Human Responses? A Case Study of Stated Preference Experiments in the Context of Heating-related Choices
by: Wang, Han, et al.
Published: (2025)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)

Human Alignment of Large Language Models through Online Preference Optimisation
by: Calandriello, Daniele, et al.
Published: (2024)

Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)

Can Large Language Models Reinvent Foundational Algorithms?
by: Zhao, Jian, et al.
Published: (2026)

Can Large Language Models Capture Video Game Engagement?
by: Melhart, David, et al.
Published: (2025)

Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges
by: Ji, Zimo, et al.
Published: (2025)

Language Models Largely Exhibit Human-like Constituent Ordering Preferences
by: Tur, Ada Defne, et al.
Published: (2025)

Can Large Language Models do Analytical Reasoning?
by: Hu, Yebowen, et al.
Published: (2024)

Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
by: Liu, Yinhong, et al.
Published: (2024)

SafeRBench: Dissecting the Reasoning Safety of Large Language Models
by: Gao, Xin, et al.
Published: (2025)

Can Large Language Models Play Games? A Case Study of A Self-Play Approach
by: Guo, Hongyi, et al.
Published: (2024)

HLL: Can Agents Cross Humanity's Last Line of Verification?
by: Song, Xinhao, et al.
Published: (2026)

Large Language Models as Code Executors: An Exploratory Study
by: Lyu, Chenyang, et al.
Published: (2024)

Learning to Select In-Context Demonstration Preferred by Large Language Model
by: Zhang, Zheng, et al.
Published: (2025)

Large Language Models Can Take False First Steps at Inference-time Planning
by: Yan, Haijiang, et al.
Published: (2026)

On Diversified Preferences of Large Language Model Alignment
by: Zeng, Dun, et al.
Published: (2023)

Do Large Language Models Learn Human-Like Strategic Preferences?
by: Roberts, Jesse, et al.
Published: (2024)

Can Large Language Models Predict Associations Among Human Attitudes?
by: Ma, Ana, et al.
Published: (2025)

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
by: Zhou, Zihao, et al.
Published: (2023)

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
by: Li, Jian, et al.
Published: (2024)

Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology
by: Kim, Minsang, et al.
Published: (2024)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

Preference Packing: Efficient Preference Optimization for Large Language Models
by: Cho, Jaekyung
Published: (2026)

Weights-Rotated Preference Optimization for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
by: Zhang, Rongzhi, et al.
Published: (2024)

When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset
by: Das, Sarmistha, et al.
Published: (2025)

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
by: He, Zhiwei, et al.
Published: (2024)