Papers
Human-AI Moral Judgment Congruence on Real-World Scenarios: A Cross-Lingual Analysis
Nan Li, Bo Kang, Tijl De Bie
Fine-tuning XLM-RoBERTa for Named Entity Recognition in Kurmanji Kurdish
Akam Nawzad, Hossein Hassani
Whose Palestine Is It? A Topic Modelling Approach to National Framing in Academic Research
Maida Aizaz, Taegyoon Kim, Lanu Kim
Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Ghazal Kalhor, Behnam Bahrak
GPT4AMR: Does LLM-based Paraphrasing Improve AMR-to-text Generation Fluency?
Jiyuan Ji, Shira Wein
Seeing Symbols, Missing Cultures: Probing Vision-Language Models’ Reasoning on Fire Imagery and Cultural Meaning
Haorui Yu, Yang Zhao, Yijia Chu et al.
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknownan
Lifu Tu, Rui Meng, Shafiq Joty et al.
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability
Yunzhen He, Yusuke Takase, Hidetoshi Shimodaira
Can Vision-Language Models Infer Speaker’s Ignorance? The Role of Visual and Linguistic Cues
Ye-eun Cho, Yunho Maeng
Towards Open-Ended Discovery for Low-Resource NLP
Bonaventure F. P. Dossou, Henri Aïdasso
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do et al.
Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels
Arnab Sharma, Daniel Vollmers, Axel-Cyrille Ngonga Ngomo
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs
Jakub Podolak, Rajeev Verma
It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
Lukas Ellinger, Georg Groh
Causal Understanding by LLMs: The Role of Uncertainty
Oscar William Lithgow-Serrano, Vani Kanjirangat, Alessandro Antonucci
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach
Eleni Partalidou, Tatiana Passali, Chrysoula Zerva et al.
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models
Liyi Zhang, Jake C. Snell, Thomas L. Griffiths
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
Zhiqi Huang, Vivek Datla, Chenyang Zhu et al.
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
Lucie Kunitomo-Jacquin, Edison Marrese-Taylor, Ken Fukuda
Demystify Verbosity Compensation Behavior of Large Language Models
Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
Eviatar Nachshoni, Arie Cattan, Shmuel Amar et al.
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers et al.
Uncertainty in Semantic Language Modeling with PIXELS
Stefania Radu, Marco Zullich, Matias Valdenegro-Toro
HALLUCINOGEN: Benchmarking Hallucination in Implicit Reasoning within Large Vision Language Models
Ashish Seth, Dinesh Manocha, Chirag Agarwal
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Tobias Groot, Salo Lacunes, Evgenia Ilia