Papers by Shubhankar Singh
Jigsaw Pieces of Meaning: Modeling Discourse Coherence with Informed Negative Sample Synthesis (2024.findings-eacl)
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| Challenge: | Existing work on creating “informed” incoherent samples for coherence modeling has focused on permutations of a coherent document . |
| Approach: | They propose to use Constituency trees, Part-of-speech, semantic overlap to create “informed” negative samples that better represent or mimic incoherence. |
| Outcome: | The proposed methods improve the quality of the negative sample. |
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts (2024.findings-acl)
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Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth
| Challenge: | Existing benchmarks for visual question answering lack in visual grounding and complexity, particularly in evaluating spatial reasoning skills. |
| Approach: | They propose to use flowcharts as visual contexts to assess the capabilities of visual question-answering multimodal language models in reasoning. |
| Outcome: | The proposed benchmarks evaluate models' ability to follow visual information without pre-existing knowledge on a suite of open-source and proprietary multimodal language models using various strategies, followed by an analysis of directional bias. |