most citedPotential and Perils of Large Language Models as Judges of Unstructured Textual Data

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2025

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment

Amitava Das, Yaswanth Narsupalli, Gurpreet Singh +5

Precise alignment in Text-to-Image (T2I) systems is crucial to ensure that generated visuals not only accurately encapsulate user intents but also conform to stringent ethical and…

cs.CL2025

IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding

Sankalp KJ, Ashutosh Kumar, Laxmaan Balaji +4

Known by more than 1.5 billion people in the Indian subcontinent, Indic languages present unique challenges and opportunities for natural language processing (NLP) research due to…

cs.CL20254 cited

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data

Rewina Bedemariam, Natalie Perez, Sreyoshi Bhaduri +7

Rapid advancements in large language models have unlocked remarkable capabilities when it comes to processing and summarizing unstructured text data. This has implications for the…

cs.LG2025

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization

Amitava Das, Suranjana Trivedy, Danush Khanna +8

The rapid rise of large language models (LLMs) has unlocked many applications but also underscores the challenge of aligning them with diverse values and preferences. Direct Prefer…

cs.AI2025

On the Feasibility of Vision-Language Models for Time-Series Classification

Vinay Prithyani, Mohsin Mohammed, Richa Gadgil +3

We build upon time-series classification by leveraging the capabilities of Vision Language Models (VLMs). We find that VLMs produce competitive results after two or less epochs of…

cs.CL2024

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs

Rushendra Sidibomma, Pransh Patwa, Parth Patwa +3

The detection of hate speech has become increasingly important in combating online hostility and its real-world consequences. Despite recent advancements, there is limited research…