Papers by Joy Rimchala
RE2: Region-Aware Relation Extraction from Visually Rich Documents (2024.naacl-long)
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| Challenge: | Existing studies on relation extraction from visually rich documents focus on layout structure and Optical Character Recognition (OCR) results. |
| Approach: | They propose a relation extraction tool that leverages layout structure among entity blocks to improve relation prediction. |
| Outcome: | The proposed model outperforms existing models on a wide range of domains and languages. |
Holistic Evaluation for Interleaved Text-and-Image Generation (2024.emnlp-main)
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| Challenge: | Existing evaluation benchmarks do not support arbitrarily interleaved images and text for both inputs and outputs. |
| Approach: | They propose to use a benchmark to evaluate interleaved text-and-image generation . they define five evaluation aspects for InterleavatedEval, a reference-free metric . |
| Outcome: | The proposed benchmarks cover a limited number of domains and use cases and lack comparableity-based metrics. |
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation (2025.emnlp-main)
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| Challenge: | Reasoning is a fundamental capability underpinning text-to-image (T2I) generation. |
| Approach: | They propose a benchmark to rigorously assess reasoning-driven T2I generation. |
| Outcome: | Experiments with 16 representative T2I models show limited reasoning performance . a strong pipeline-based framework decouples reasoning and generation . |