46 citations · 81 across the 16 of their papers we have counts for
17 papers
GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search
Sahajpreet Singh, Kokil Jaidka, Min-Yen Kan +1
Community Notes enable scalable, community-based fact-checking, but automated generation faces a coverage--quality trade-off. Note-dependent methods (e.g., summarization-based Supe…
Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
Svetlana Churina, Niranjan Chebrolu, Kokil Jaidka
We show that continual pretraining on plausible misinformation can overwrite specific factual knowledge in large language models without degrading overall performance. Unlike prior…
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
Lynnette Hui Xian Ng, Kokil Jaidka, Kaiyuan Tay +2
Supervised machine-learning models often underperform in predicting user behaviors from conversational text, hindered by poor crowdsourced label quality and low NLP task accuracy.…
The MediaSpin Dataset: Post-Publication News Headline Edits Annotated for Media Bias
Preetika Verma, Kokil Jaidka
We present MediaSpin, a large-scale language resource capturing how major news outlets modify headlines after publication, and MediaSpin-in-the-Wild, a complementary dataset linkin…
Incivility and Rigidity: Evaluating the Risks of Fine-Tuning LLMs for Political Argumentation
Svetlana Churina, Kokil Jaidka
Incivility on platforms such as Twitter (now X) and Reddit complicates the development of AI systems that can support productive, rhetorically sound political argumentation. We pre…
Impact of Decoding Methods on Human Alignment of Conversational LLMs
Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma
To be included into chatbot systems, Large language models (LLMs) must be aligned with human conversational conventions. However, being trained mainly on web-scraped data gives exi…
Turn-Level Empathy Prediction Using Psychological Indicators
Shaz Furniturewala, Kokil Jaidka
For the WASSA 2024 Empathy and Personality Prediction Shared Task, we propose a novel turn-level empathy detection method that decomposes empathy into six psychological indicators:…
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
Gerard Christopher Yeo, Shaz Furniturewala, Kokil Jaidka
Supervised machine-learning models for predicting user behavior offer a challenging classification problem with lower average prediction performance scores than other text classifi…
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
Shaz Furniturewala, Surgan Jandial, Abhinav Java +4
Existing debiasing techniques are typically training-based or require access to the model's internals and output distributions, so they are inaccessible to end-users looking to ada…
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…
"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments
Preetika Verma, Kokil Jaidka, Svetlana Churina
Large language models (LLMs) play a key role in generating evidence-based and stylistic counter-arguments, yet their effectiveness in real-world applications has been underexplored…
It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games
Kokil Jaidka, Hansin Ahuja, Lynnette Ng
Online games are dynamic environments where players interact with each other, which offers a rich setting for understanding how players negotiate their way through the game to an u…
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka
This abstract proposes an approach towards goal-oriented modeling of the detection and modeling complex social phenomena in multiparty discourse in an online political strategy gam…
Social Media Reveals Urban-Rural Differences in Stress across China
Jesse Cui, Tingdan Zhang, Kokil Jaidka +5
Modeling differential stress expressions in urban and rural regions in China can provide a better understanding of the effects of urbanization on psychological well-being in a coun…
The CL-SciSumm Shared Task 2018: Results and Key Insights
Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran +2
This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational ling…
Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)
Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka
The joint BIRNDL workshop was held at the 41st ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) in Ann Arbor, USA. BIRNDL 2018 intend…
Understanding and Measuring Psychological Stress using Social Media
Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka +2
A body of literature has demonstrated that users' mental health conditions, such as depression and anxiety, can be predicted from their social media language. There is still a gap…