Papers by Rishanth Rajendhran

2 papers
VeriFastScore: Speeding up long-form factuality evaluation (2025.findings-emnlp)

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Challenge: VeriFastScore model can be used to evaluate long-form factuality but requires multiple LLM calls and can take up to 100s to evaluate a single response.
Approach: They propose a model that leverages synthetic data to fine-tune Llama3.1 8B for extracting and verifying all verifiable claims within a given text based on evidence from Google Search.
Outcome: The proposed model achieves strong correlation with the original VeriScore pipeline at both the example level and system level while achieving an overall speedup of 6.6 over Veriscore.
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness (2024.naacl-long)

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Challenge: Existing approaches to measure robustness are problematic, and out-of-domain evaluations are no longer relevant.
Approach: They examine models of different sizes spanning different architectural choices and pretraining objectives.
Outcome: The results show that not all out-of-domain tests provide insight into robustness . merely scaling models does not make them adequately robust .

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