Papers
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
Taro Yano, Yoichi Ishibashi, Masafumi Oyamada
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
Melissa Kazemi Rad, Alberto Purpura, Himanshu Kumar et al.
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Amber Shore, Russell Scheinberg, Ameeta Agrawal et al.
A Comprehensive Framework to Operationalize Social Stereotypes for Responsible AI Evaluations
Aida Mostafazadeh Davani, Sunipa Dev, Héctor Pérez-Urbina et al.
Lemmatization as a Classification Task: Results from Arabic across Multiple Genres
Mostafa Saeed, Nizar Habash
The Arabic Generality Score: Another Dimension of Modeling Arabic Dialectness
Sanad Sha’ban, Nizar Habash
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
Takumi Shibata, Yuichi Miyamura
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction
Yang Yang, Mohan Timilsina, Edward Curry
Sparse Autoencoder Features for Classifications and Transferability
Jack Gallifant, Shan Chen, Kuleen Sasse et al.
Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality
Ruizheng Huang, Zhicheng Zhang, Yong Wang
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence
Marek Strong, Andreas Vlachos
GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL
Zhifeng Hao, Junqi Huang, Shaobin Shi et al.
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback
Nicola Horst, Davide Mazzaccara, Antonia Schmidt et al.
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao et al.
Where Confabulation Lives: Latent Feature Discovery in LLMs
Thibaud Ardoin, Yi Cai, Gerhard Wunder
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
Stephanie Schoch, Yangfeng Ji
Measuring and Mitigating Media Outlet Name Bias in Large Language Models
Seong-Jin Park, Kang-Min Kim
Assessing effective de-escalation of crisis conversations using transformer-based models and trend statistics
Ignacio J. Tripodi, Greg Buda, Margaret Meagher et al.
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li, Sen Zhang, Samuel S. Sohn et al.
Too Helpful, Too Harmless, Too Honest or Just Right?
Gautam Siddharth Kashyap, Mark Dras, Usman Naseem
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
João Maria Janeiro, Belen Alastruey, Francisco Massa et al.
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
Qi Lin, Weikai Xu, Lisi Chen et al.
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
Faeze Ghorbanpour, Daryna Dementieva, Alexander Fraser
Machine-generated text detection prevents language model collapse
George Drayson, Emine Yilmaz, Vasileios Lampos
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu et al.