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Janvijay Singh

5 accepted papers

2026

On the Shelf Life of Finetuned LLM-Judges: Future Proofing, Backward Compatibility, and Question Generalization

ICLR 2026poster

The LLM-as-a-judge paradigm is widely used in both evaluating free-text model responses and reward modeling for model alignment and finetuning. Recently, finetuning judges with judge-specific data has emerged as an often preferred choice over directly prompting frontier models as judges, as the form…

Cited by 0SourceScholar
2026

Variation in Verification: Understanding Verification Dynamics in Large Language Models

ICLR 2026poster

Recent advances have shown that scaling test-time computation enables large language models (LLMs) to solve increasingly complex problems across diverse domains. One effective paradigm for test-time scaling (TTS) involves LLM generators producing multiple solution candidates, with LLM verifiers asse…

Cited by 0SourceScholar
2023

Enhancing Textbooks with Visuals from the Web for Improved Learning

EMNLP 2023long main

Textbooks are one of the main mediums for delivering high-quality education to students. In particular, explanatory and illustrative visuals play a key role in retention, comprehension and general transfer of knowledge. However, many textbooks lack these interesting visuals to support student learni…

Cited by 0SourcecodeScholar
2023

Forgotten Knowledge: Examining the Citational Amnesia in NLP

ACL 2023long

Citing papers is the primary method through which modern scientific writing discusses and builds on past work. Collectively, citing a diverse set of papers (in time and area of study) is an indicator of how widely the community is reading. Yet, there is little work looking at broad temporal patterns…

Cited by 14SourcePDFScholar