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cs.CL2026

From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation

Niranjan Chebrolu, Kokil Jaidka, Gerard Christopher Yeo

Complex social behaviors, such as empathy and strategic politeness, are widely assumed to resist the directional decomposition that makes activation steering effective for coarse a…

cs.CL2026

Learning Through Dialogue: Engagement and Efficacy Matter More Than Explanations

Shaz Furniturewala, Gerard Christopher Yeo, Kokil Jaidka

Large language models (LLMs) are increasingly used as conversational partners for learning, yet the interactional dynamics supporting users' learning and engagement are understudie…

cs.CL2025

Conversations: Love Them, Hate Them, Steer Them

Niranjan Chebrolu, Gerard Christopher Yeo, Kokil Jaidka

Large Language Models (LLMs) demonstrate increasing conversational fluency, yet instilling them with nuanced, human-like emotional expression remains a significant challenge. Curre…

cs.CL2025

Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models

Gerard Christopher Yeo, Kokil Jaidka

Datasets used for emotion recognition tasks typically contain overt cues that can be used in predicting the emotions expressed in a text. However, one challenge is that texts somet…

cs.CL2025

On the Limitations of Steering in Language Model Alignment

Chebrolu Niranjan, Kokil Jaidka, Gerard Christopher Yeo

Steering vectors are a promising approach to aligning language model behavior at inference time. In this paper, we propose a framework to assess the limitations of steering vectors…

cs.CL2024

PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models

Fiona Anting Tan, Gerard Christopher Yeo, Kokil Jaidka +6

The use of LLMs in natural language reasoning has shown mixed results, sometimes rivaling or even surpassing human performance in simpler classification tasks while struggling with…