Papers
NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals
Neha Srikanth, Rachel Rudinger
No Simple Answer to Data Complexity: An Examination of Instance-Level Complexity Metrics for Classification Tasks
Ryan A. Cook, John P. Lalor, Ahmed Abbasi
Exploring Large Language Models for Effective Rumor Detection on Social Media
Yirong Zeng, Xiao Ding, Bibo Cai et al.
SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection
Sindhu Padakandla, Sadbhavana Babar, Rathod Darshan D et al.
Language Models Largely Exhibit Human-like Constituent Ordering Preferences
Ada Tur, Gaurav Kamath, Siva Reddy
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
Zhongwei Wan, Hui Shen, Xin Wang et al.
SymBa: Symbolic Backward Chaining for Structured Natural Language Reasoning
Jinu Lee, Wonseok Hwang
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction
Anh Duc Le, Nam Le Hai, Thanh Xuan Nguyen et al.
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli et al.
LiPO: Listwise Preference Optimization through Learning-to-Rank
Tianqi Liu, Zhen Qin, Junru Wu et al.
NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models
Abhinav Rao, Akhila Yerukola, Vishwa Shah et al.
Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection
Xiaoni Duan, Zhuoyan Li, Chien-Ju Ho et al.
Fine-Tuned LLMs are “Time Capsules” for Tracking Societal Bias Through Books
Sangmitra Madhusudan, Robert Morabito, Skye Reid et al.
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
Yuhang Zhou, Giannis Karamanolakis, Victor Soto et al.
Patent-CR: A Dataset for Patent Claim Revision
Lekang Jiang, Pascal A. Scherz, Stefan Goetz
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
Xiaofeng Zhang, Yihao Quan, Chen Shen et al.
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny et al.
Cascading Large Language Models for Salient Event Graph Generation
Xingwei Tan, Yuxiang Zhou, Gabriele Pergola et al.
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
Mingqi Gao, Xinyu Hu, Li Lin et al.
WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching
Tianze Luo, Xingchen Miao, Wenbo Duan
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
Lindia Tjuatja, Graham Neubig, Tal Linzen et al.
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding
Jiang Li, Xiangdong Su, Guanglai Gao
MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation
Satya Krishna Gorti, Ilan Gofman, Zhaoyan Liu et al.
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models
Joan Nwatu, Oana Ignat, Rada Mihalcea