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cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

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.CL2024

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.CL2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents

Mehrad Moradshahi, Tianhao Shen, Kalika Bali +16

Task-oriented dialogue research has mainly focused on a few popular languages like English and Chinese, due to the high dataset creation cost for a new language. To reduce the cost…

cs.CL2021

Battling Hateful Content in Indic Languages HASOC '21

Aditya Kadam, Anmol Goel, Jivitesh Jain +7

The extensive rise in consumption of online social media (OSMs) by a large number of people poses a critical problem of curbing the spread of hateful content on these platforms. Wi…