Papers by Unnat Jain

2 papers
Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments (2021.emnlp-main)

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Challenge: Prior work on Vision-and-Language Navigation (VLN) tasks do not measure how much of a language instruction the agent is able to follow.
Approach: They propose a language-aligned supervision scheme that measures the number of sub-instructions the agent has completed during navigation.
Outcome: The proposed method is based on the previous work on the Vision-and-Language Navigation task, which assumes a discrete navigation graph (navgraph) but not on the current work.
Compositional Reasoning via Joint Image and Language Decomposition (2026.findings-eacl)

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Challenge: Existing approaches typically decompose only language queries, treating images as monolithic inputs.
Approach: They propose a framework that decomposes both images and questions into visual sub-domains with corresponding sub-questions.
Outcome: REDI achieves absolute accuracy improvements of 8.9%, 8.2%, and 16.0% over existing models.

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