11 citations · 26 across the 45 of their papers we have counts for
9 papers · 1 filter
Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
Adithya V Ganesan, Vasudha Varadarajan, Yash Kumar Lal +9
Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders…
Can Stories Help LLMs Reason? Curating Information Space Through Narrative
Vahid Sadiri Javadi, Johanne R. Trippas, Yash Kumar Lal +1
Narratives are widely recognized as a powerful tool for structuring information and facilitating comprehension of complex ideas in various domains such as science communication. Th…
Probing the Robustness of Theory of Mind in Large Language Models
Christian Nickel, Laura Schrewe, Lucie Flek
With the success of ChatGPT and other similarly sized SotA LLMs, claims of emergent human like social reasoning capabilities, especially Theory of Mind (ToM), in these models have…
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
Simon Kurz, Jian-Jia Chen, Lucie Flek +1
Recent advances in large language model (LLM) pruning have shown state-of-the-art (SotA) compression results in post-training and retraining-free settings while maintaining high pr…
Do Multilingual Large Language Models Mitigate Stereotype Bias?
Shangrui Nie, Michael Fromm, Charles Welch +7
While preliminary findings indicate that multilingual LLMs exhibit reduced bias compared to monolingual ones, a comprehensive understanding of the effect of multilingual training o…
EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization
Ondrej Sotolar, Vojtech Formanek, Alok Debnath +3
Empathetic response generation is a desirable aspect of conversational agents, crucial for facilitating engaging and emotionally intelligent multi-turn conversations between humans…
USDC: A Dataset of ser tance and ogmatism in Long onversations
Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni +2
Analyzing user opinion changes in long conversation threads is extremely critical for applications like enhanced personalization, market research, political campaigns, customer ser…
Corpus Considerations for Annotator Modeling and Scaling
Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi +3
Recent trends in natural language processing research and annotation tasks affirm a paradigm shift from the traditional reliance on a single ground truth to a focus on individual p…
Pitfalls of Conversational LLMs on News Debiasing
Ipek Baris Schlicht, Defne Altiok, Maryanne Taouk +1
This paper addresses debiasing in news editing and evaluates the effectiveness of conversational Large Language Models in this task. We designed an evaluation checklist tailored to…