activity
20212026
most citedInSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?

2 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

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★ 2 cited

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.CL2023★ 2 cited

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…

cs.AI2022

PreCogIIITH at HinglishEval : Leveraging Code-Mixing Metrics & Language Model Embeddings To Estimate Code-Mix Quality

Prashant Kodali, Tanmay Sachan, Akshay Goindani +4

Code-Mixing is a phenomenon of mixing two or more languages in a speech event and is prevalent in multilingual societies. Given the low-resource nature of Code-Mixing, machine gene…

cs.CL2022★ 1 cited

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.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…