Papers
On the Transferability of Causal Knowledge for Language Models
Gourab Dey, Yash Kumar Lal
NarraDetect: An annotated dataset for the task of narrative detection
Andrew Piper, Sunyam Bagga
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
Neeraj Varshney, Satyam Raj, Venkatesh Mishra et al.
Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT
YiTian Ding, Jinman Zhao, Chen Jia et al.
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
Chenyang Zhang, Jiayi Lin, Haibo Tong et al.
Synthetic Lyrics Detection Across Languages and Genres
Yanis Labrak, Markus Frohmann, Gabriel Meseguer-Brocal et al.
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance
Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan et al.
Defining and Quantifying Visual Hallucinations in Vision-Language Models
Vipula Rawte, Aryan Mishra, Amit Sheth et al.
Gender Encoding Patterns in Pretrained Language Model Representations
Mahdi Zakizadeh, Mohammad Taher Pilehvar
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings
Saniya Karwa, Navpreet Singh
Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
Christina A Chance, Da Yin, Dakuo Wang et al.
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models
Shahnewaz Karim Sakib, Anindya Bijoy Das, Shibbir Ahmed
Evaluating Design Choices in Verifiable Generation with Open-source Models
Shuyang Cao, Lu Wang
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong et al.
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
Neelabh Sinha, Vinija Jain, Aman Chadha
Difficulty Estimation in Natural Language Tasks with Action Scores
Aleksandar Angelov, Tsegaye Misikir Tashu, Matias Valdenegro-Toro
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
Alberto Purpura, Sahil Wadhwa, Jesse Zymet et al.
Know Thyself: Validating Knowledge Awareness of LLM-based Persona Agents
Savita Bhat, Ishaan Shukla, Shirish Karande
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods
Nicola Cecere, Andrea Bacciu, Ignacio Fernández-Tobías et al.
On the Robustness of Agentic Function Calling
Ella Rabinovich, Ateret Anaby Tavor
Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
Maria Mihaela Trusca, Liesbeth Allein
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
Yi Yang, Hanyu Duan, Ahmed Abbasi et al.
Summary the Savior: Harmful Keyword and Query-based Summarization for LLM Jailbreak Defense
Shagoto Rahman, Ian Harris
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models
Mirko Borszukovszki, Ivo Pascal De Jong, Matias Valdenegro-Toro
ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models
Vipula Rawte, Sarthak Jain, Aarush Sinha et al.