Papers by Anant Khandelwal

2 papers
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes (2023.acl-industry)

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Challenge: E-commerce websites often don’t label or mislabel attributes of products .
Approach: They propose a multi-modal product attribute generation system that extracts product attributes from the product pages of eCommerce stores by using both text and images.
Outcome: The proposed model improves the recall@90P accuracy by 10.16% and 6.9 from the state-of-the-art models.
CoCoA: Confidence- and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models (2025.emnlp-main)

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Challenge: Existing contrastive decoding methods that handle conflict lack adaptability and can degrade performance in low conflict settings.
Approach: They propose a token-level algorithm for principled conflict resolution and enhanced faithfulness that resolves conflict by utilizing confidence-aware measures and the generalized divergence between parametric and contextual distributions.
Outcome: The proposed algorithm achieves 9.2 points on average in QA, summarization, and long-form question answering (LFQA) benchmarks and improves factuality by 2.5 points on the key benchmarks.

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