8 citations · 10 across the 14 of their papers we have counts for
9 papers · 1 filter
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
Sahajpreet Singh, Insyirah Mujtahid, Min-Yen Kan +1
Misinformation verification increasingly occurs in public, fast-moving, and multilingual online settings, where static benchmarks provide an incomplete measure of model reliability…
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…
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…
Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus
Svetlana Churina, Akshat Gupta, Insyirah Mujtahid +1
Code-mixing involves the seamless integration of linguistic elements from multiple languages within a single discourse, reflecting natural multilingual communication patterns. Desp…
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…
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…
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…
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection
Ahmad Nasir, Aadish Sharma, Kokil Jaidka +1
In the evolving landscape of online communication, hate speech detection remains a formidable challenge, further compounded by the diversity of digital platforms. This study invest…
Predicting Sentence-Level Factuality of News and Bias of Media Outlets
Francielle Vargas, Kokil Jaidka, Thiago A. S. Pardo +1
Automated news credibility and fact-checking at scale require accurately predicting news factuality and media bias. This paper introduces a large sentence-level dataset, titled "Fa…