Papers by Ritesh Thawkar

3 papers
Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts (2025.findings-acl)

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Challenge: TimeTravel is a benchmark of 10,250 expert-verified historical artifact samples spanning 266 distinct cultures across 10 major historical regions.
Approach: They evaluate contemporary AI models on TimeTravel, highlighting their strengths and identifying areas for improvement.
Outcome: The timeTravel benchmark covers 266 cultures and 10 major historical regions and aims to establish AI as reliable partner in preserving cultural heritage.
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs (2025.findings-acl)

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Challenge: Existing approaches do not emphasize step-wise problem-solving.
Approach: They propose a visual reasoning chain benchmark and a fine-grained reasoning metric that evaluates correctness and logical coherence at each step.
Outcome: The proposed framework outperforms existing models in six benchmarks and is 5x faster during inference scaling.
Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs (2025.emnlp-main)

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Challenge: a benchmark is designed to assess the comprehension of Arabic poetry by large language models in 12 historical eras.
Approach: They propose a benchmark to assess the comprehension of Arabic poetry by large language models in 12 historical eras.
Outcome: The benchmark assesses the comprehension of Arabic poetry by large language models in 12 historical eras.

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