Papers
How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?
Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala et al.
Detecting Training Data of Large Language Models via Expectation Maximization
Gyuwan Kim, Yang Li, Evangelia Spiliopoulou et al.
Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation
Felix Matthias Saaro, Pius von Däniken, Mark Cieliebak et al.
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
Bastien Liétard, Gabriel Loiseau
Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish
Yakup Abrek Er, Ilker Kesen, Gözde Gül Şahin et al.
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Yuhang Liu, Pengxiang Li, Zishu Wei et al.
Safety of Large Language Models Beyond English: A Systematic Literature Review of Risks, Biases, and Safeguards
Aleksandra Krasnodębska, Katarzyna Dziewulska, Karolina Seweryn et al.
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning
Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov et al.
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
Iwona Christop, Mateusz Czyżnikiewicz, Paweł Skórzewski et al.
SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition
Xingyu Zhu, Claire Nédellec, Balazs Nagy et al.
Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns
Ilias Chalkidis, Stephanie Brandl, Paris Aslanidis
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Ana-Maria Bucur, Marcos Zampieri, Tharindu Ranasinghe et al.
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
Zixiao Zhu, Hanzhang Zhou, Zijian Feng et al.
Sparse Adapter Fusion for Continual Learning in NLP
Min Zeng, Xi Chen, Haiqin Yang et al.
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
Yu-Shin Huang, Peter Just, Hanyun Yin et al.
Auditing Language Model Unlearning via Information Decomposition
Anmol Goel, Alan Ritter, Iryna Gurevych
Do language models accommodate their users? A study of linguistic convergence
Terra Blevins, Susanne Schmalwieser, Benjamin Roth
BigTokDetect: A Clinically-Informed Vision–Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
Minh Duc Chu, Kshitij Pawar, Zihao He et al.
Humans and transformer LMs: Abstraction drives language learning
Jasper Jian, Christopher D Manning
BERT, are you paying attention? Attention regularization with human-annotated rationales
Elize Herrewijnen, Dong Nguyen, Floris Bex et al.
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae, Jiwoo Hong, Min Young Lee et al.
Detecting (Un)answerability in Large Language Models with Linear Directions
Maor Juliet Lavi, Tova Milo, Mor Geva
PromptFE: Automated Feature Engineering by Prompting
Yufeng Zou, Jean Utke, Diego Klabjan et al.
Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
David Guzman Piedrahita, Irene Strauss, Rada Mihalcea et al.
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis et al.