Papers by Adhiraj Ghosh

2 papers
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities (2025.acl-long)

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Challenge: ONEBench enables custom benchmarks for specific capabilities while reusing and aggregating samples.
Approach: They propose a new paradigm that consolidates individual evaluation datasets into a unified, ever-expanding sample pool.
Outcome: The proposed model evaluation framework is based on dynamic, sample-level evaluation.
ViPE: Visualise Pretty-much Everything (2023.emnlp-main)

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Challenge: Figure and non-literal expressions are deeply integrated in human communication . text-to-image models like Stable Diffusion struggle to depict non-figural expression .
Approach: They propose a series of lightweight and robust language models that can be used to visualise non-literal expressions.
Outcome: The proposed language models are more robust than existing models and can generate high-quality images.

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