Papers
2,781 papers found
Confidence Improves Self-Consistency in LLMs
Amir Taubenfeld, Tom Sheffer, Eran Ofek et al.
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
Xuemiao Zhang, Feiyu Duan, Xu Liangyu et al.
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
Biao Fu, Minpeng Liao, Kai Fan et al.
DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
Shaoshen Chen, Yangning Li, Zishan Xu et al.
MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization
Shiyue Xu, Fu Zhang, Jingwei Cheng et al.
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri et al.
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion
Tiehan Cui, Yanxu Mao, Peipei Liu et al.
Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation
Ke Ji, Junying Chen, Anningzhe Gao et al.
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
Xuemiao Zhang, Xu Liangyu, Feiyu Duan et al.
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
Zixiao Wang, Duzhen Zhang, Ishita Agarwal et al.
TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
Zhou Chen, Zhiqiang Wei, Yuqi Bai et al.
Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
William Sheffield, Kanishka Misra, Valentina Pyatkin et al.
P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs
Dongjun Jang, Youngchae Ahn, Hyopil Shin
Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness
Shayan Alipour, Indira Sen, Mattia Samory et al.
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation
Stefan Vasilev, Christian Herold, Baohao Liao et al.
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna et al.
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
Puxuan Yu, Daniel Cohen, Hemank Lamba et al.
Evaluating LLMs’ Mathematical and Coding Competency through Ontology-guided Interventions
Pengfei Hong, Navonil Majumder, Deepanway Ghosal et al.
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
Sifan Zhou, Shuo Wang, Zhihang Yuan et al.
Evaluation of LLMs in Medical Text Summarization: The Role of Vocabulary Adaptation in High OOV Settings
Gunjan Balde, Soumyadeep Roy, Mainack Mondal et al.
Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective
Yipeng Kang, Junqi Wang, Yexin Li et al.
LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models
Xinxin Li, Huiyao Chen, Chengjun Liu et al.
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
Yuchen Wu, Liang Ding, Li Shen et al.
Un-considering Contextual Information: Assessing LLMs’ Understanding of Indexical Elements
Metehan Oğuz, Yavuz Faruk Bakman, Duygu Nur Yaldiz
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
Chengwei Qin, Wenhan Xia, Tan Wang et al.