Papers
Creativity in LLM-based Multi-Agent Systems: A Survey
Yi-Cheng Lin, Kang-Chieh Chen, Zhe-Yan Li et al.
When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs
Ammar Khairi, Daniel D’souza, Ye Shen et al.
HealthCards: Exploring Text-to-Image Generation as Visual Aids for Healthcare Knowledge Democratizing and Education
Qian Wu, Zheyao Gao, Longfei Gou et al.
BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
Pierre Andrews, Mikel Artetxe, Mariano Coria Meglioli et al.
Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
Wesley Scivetti, Tatsuya Aoyama, Ethan Wilcox et al.
Trustworthy Medical Question Answering: An Evaluation-Centric Survey
Yinuo Wang, Baiyang Wang, Robert Mercer et al.
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
Matthew Zent, Digory Smith, Simon Woodhead
Randomized Smoothing Meets Vision-Language Models
Emmanouil Seferis, Changshun Wu, Stefanos Kollias et al.
Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
Jessica Hoffmann, Christiane Ahlheim, Zac Yu et al.
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes et al.
TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering
Ruochun Jin, Xiyue Wang, Dong Wang et al.
MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety
Yahan Yang, Soham Dan, Shuo Li et al.
Frame First, Then Extract: A Frame-Semantic Reasoning Pipeline for Zero-Shot Relation Triplet Extraction
Zehan Li, Fu Zhang, Wenqing Zhang et al.
Assay2Mol: Large Language Model-based Drug Design Using BioAssay Context
Yifan Deng, Spencer S Ericksen, Anthony Gitter
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
Cheng Liu, Yifei Lu, Fanghua Ye et al.
Summarizing Speech: A Comprehensive Survey
Fabian Retkowski, Maike Züfle, Andreas Sudmann et al.
Frequency & Compositionality in Emergent Communication
Jean-Baptiste Sevestre, Emmanuel Dupoux
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
Dominik Meier, Jan Philip Wahle, Paul Röttger et al.
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
Qianxi He, Qingyu Ren, Shanzhe Lei et al.
Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge
Tsedeniya Kinfe Temesgen, Marion Di Marco, Alexander Fraser
Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio et al.
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
Qianxi He, Qianyu He, Jiaqing Liang et al.
SemVink: Advancing VLMs’ Semantic Understanding of Optical Illusions via Visual Global Thinking
Sifan Li, Yujun Cai, Yiwei Wang
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
Linjuan Wu, Hao-Ran Wei, Huan Lin et al.
CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments
Rishika Bhagwatkar, Syrielle Montariol, Angelika Romanou et al.