10 citations · 11 across the 11 of their papers we have counts for
13 papers
Language Models Show a "Women-Are-Wonderful" Effect in Blame Attribution That is Not Just Leniency
Anika Sharma, Snehalkumar 'Neil' S. Gaikwad, Snigdha Chaturvedi +1
This paper investigates the Women-Are-Wonderful (WaW) effect in language-model blame attribution: a favorable bias in which women receive more positive evaluations than men. Using…
Evaluating Context Sensitivity of Collaboration Behavior in Multi Party Simulation Frameworks
Anvesh Rao Vijjini, Sheshera Mysore, Pegah Jandaghi +3
Group Social Behavior is increasingly used as a lens to study Large language model (LLM) simulations to aid model training and evaluation. However, little prior work has examined h…
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie +2
As LLM-generated text is increasingly used, especially in fictional domains, we explore how much LLM-generated stories differ from human-written stories. In this work, we focus on…
SHARD: Safe and Helpful Alignment via Self-Reframing Distillation
Viswonathan Manoranjan, Amogh Gupta, Anvesh Rao Vijjini +2
Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's legitimate informational ne…
Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
Anvesh Rao Vijjini, Sagar Manjunath, Snigdha Chaturvedi
Power differences shape human communication through well documented socio cognitive effects, including language coordination, pronoun usage, authority bias, and harmful compliance.…
Socratic Students: Teaching Language Models to Learn by Asking Questions
Rajeev Bhatt Ambati, Tianyi Niu, Aashu Singh +3
Large language Models (LLMs) are usually used to answer questions, but many high-stakes applications (e.g., tutoring, clinical support) require the complementary skill of asking qu…
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu +9
Creativity is often seen as a hallmark of human intelligence. While large language models(LLMs) are increasingly perceived as generating creative text, there is still no cross-doma…
Classifying Unreliable Narrators with Large Language Models
Anneliese Brei, Katharine Henry, Abhisheik Sharma +2
Often when we interact with a first-person account of events, we consider whether or not the narrator, the primary speaker of the text, is reliable. In this paper, we propose using…
MarginSel : Max-Margin Demonstration Selection for LLMs
Rajeev Bhatt Ambati, James Lester, Shashank Srivastava +1
Large Language Models (LLMs) excel at few-shot learning via in-context learning (ICL). However, the effectiveness of ICL is often sensitive to the selection and ordering of demonst…
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models
Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu +2
While much research has explored enhancing the reasoning capabilities of large language models (LLMs) in the last few years, there is a gap in understanding the alignment of these…
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
As large language models (LLMs) become increasingly integrated into daily applications, it is essential to ensure they operate fairly across diverse user demographics. In this work…
Returning to the Start: Generating Narratives with Related Endpoints
Anneliese Brei, Chao Zhao, Snigdha Chaturvedi
Human writers often bookend their writing with ending sentences that relate back to the beginning sentences in order to compose a satisfying narrative that "closes the loop." Motiv…
Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text
Snigdha Chaturvedi, Dan Goldwasser, Hal Daume
The ability to comprehend wishes or desires and their fulfillment is important to Natural Language Understanding. This paper introduces the task of identifying if a desire expresse…