Papers
246 papers found
DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
Shaoshen Chen, Yangning Li, Zishan Xu et al.
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment
Amir Hossein Kargaran, Ali Modarressi, Nafiseh Nikeghbal et al.
A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering
Le Nguyen Anh Khoa, Thìn Đặng Văn
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation
Claudio Savelli, Alkis Koudounas, Flavio Giobergia
NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection
Guillermo Segura-Gómez, Adrian Pastor Lopez Monroy, Fernando Sanchez - Vega et al.
Injecting Structured Knowledge into LLMs via Graph Neural Networks
Zichao Li, Zong Ke, Puning Zhao
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Cheng Wang, Yiwei Wang, Bryan Hooi et al.
Interactive Evaluation for Medical LLMs via Task-oriented Dialogue System
Ruoyu Liu, Kui Xue, Xiaofan Zhang et al.
Mirror Minds : An Empirical Study on Detecting LLM-Generated Text via LLMs
Josh Baradia, Shubham Gupta, Suman Kundu
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh et al.
Learning Preference Model for LLMs via Automatic Preference Data Generation
Shijia Huang, Jianqiao Zhao, Yanyang Li et al.
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
Ziyi Liu, Abhishek Anand, Pei Zhou et al.
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
Pritish Sahu, Karan Sikka, Ajay Divakaran
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
Yuanyuan Lei, Ruihong Huang
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Björn Deiseroth, Manuel Brack, Patrick Schramowski et al.
Enhancing Temporal Modeling of Video LLMs via Time Gating
Zi-Yuan Hu, Yiwu Zhong, Shijia Huang et al.
CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs
Yupei Ren, Hongyi Wu, Zhaoguang Long et al.
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
Sihui Yang, Keping Bi, Wanqing Cui et al.
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
Abhinav Joshi, Shaswati Saha, Divyaksh Shukla et al.
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Ziyue Liu, Ruijie Zhang, Zhengyang Wang et al.
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
Yicheng Ji, Jun Zhang, Heming Xia et al.
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
Yuxuan Hu, Jihao Liu, Ke Wang et al.
Identifying Unlearned Data in LLMs via Membership Inference Attacks
Advit Deepak, Megan Mou, Jing Huang et al.
Stimulate the Critical Thinking of LLMs via Debiasing Discussion
Ruiyu Xiao, Lei Wu, Yuanxing Liu et al.