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cs.CL2026

Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs

Krishak Aneja, Manas Mittal, Anmol Goel +2

Fine-tuning Large Language Models (LLMs) on benign narrow data can sometimes induce broad harmful behaviors, a vulnerability termed emergent misalignment (EM). While prior work lin…

cs.CL2025

From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences

Prashant Kodali, Anmol Goel, Likhith Asapu +5

Current computational approaches for analysing or generating code-mixed sentences do not explicitly model ``naturalness'' or ``acceptability'' of code-mixed sentences, but rely on…

cs.CL2024

InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?

Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje +7

Recent advancements in language technology and Artificial Intelligence have resulted in numerous Language Models being proposed to perform various tasks in the legal domain ranging…

cs.CL2024

HLDC: Hindi Legal Documents Corpus

Arnav Kapoor, Mudit Dhawan, Anmol Goel +7

Many populous countries including India are burdened with a considerable backlog of legal cases. Development of automated systems that could process legal documents and augment leg…

cs.CL2024

Are Models Trained on Indian Legal Data Fair?

Sahil Girhepuje, Anmol Goel, Gokul S Krishnan +4

Recent advances and applications of language technology and artificial intelligence have enabled much success across multiple domains like law, medical and mental health. AI-based…