3 papers
cs.SE2026
Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question Answering
Kishan Maharaj, Nandakishore Menon, Ashita Saxena +1
Large language models (LLMs) increasingly assist software engineering tasks that require reasoning over long code contexts, yet their robustness under varying input conditions rema…
cs.CL2025
Understand the Implication: Learning to Think for Pragmatic Understanding
Settaluri Lakshmi Sravanthi, Kishan Maharaj, Sravani Gunnu +2
Pragmatics, the ability to infer meaning beyond literal interpretation, is crucial for social cognition and communication. While LLMs have been benchmarked for their pragmatic unde…
cs.SE2024
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries
Kishan Maharaj, Vitobha Munigala, Srikanth G. Tamilselvam +5
Recent advancements in large language models (LLMs) have significantly enhanced their ability to understand both natural language and code, driving their use in tasks like natural…