SaGE: Evaluating Moral Consistency in Large Language Models. - Vamshi Krishna Bonagiri; Sreeram Vennam; Priyanshul Govil; Ponnurangam Kumaraguru; Manas Gaur (LREC/COLING, 2024)

Measuring Moral Inconsistencies in Large Language Models. - Vamshi Krishna Bonagiri; Sreeram Vennam; Manas Gaur; Ponnurangam Kumaraguru (CoRR, 2024)

Generating Explanations for Cellular Neural Networks. - Akshit Sinha; Sreeram Vennam; Charu Sharma; Ponnurangam Kumaraguru (CoRR, 2024)

Multilingual Non-Factoid Question Answering with Silver Answers. - Ritwik Mishra; Sreeram Vennam; Rajiv Ratn Shah; Ponnurangam Kumaraguru (CoRR, 2024)

LLM Vocabulary Compression for Low-Compute Environments. - Sreeram Vennam; Anish Joishy; Ponnurangam Kumaraguru (CoRR, 2024)

Rethinking Thinking Tokens: Understanding Why They Underperform in Practice. - Sreeram Vennam; David Valente; David Herel; Ponnurangam Kumaraguru (CoRR, 2024)

Higher Order Structures for Graph Explanations. - Akshit Sinha; Sreeram Vennam; Charu Sharma; Ponnurangam Kumaraguru (AAAI, 2025)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting. - Thilini Wijesiriwardene; Ruwan Wickramarachchi; Sreeram Reddy Vennam; Vinija Jain; Aman Chadha; Amitava Das 001; Ponnurangam Kumaraguru; Amit P. Sheth (COLING, 2025)

Multilingual Non-factoid Question Answering with Answer Paragraph Selection. - Ritwik Mishra; Sreeram Vennam; Rajiv Ratn Shah; Ponnurangam Kumaraguru (PAKDD (6), 2025)