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Krishna Srinivasan

5 accepted papers

2024

WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models

NeurIPS 2024poster

Cross-modal (image-to-text and text-to-image) retrieval is an established task used in evaluation benchmarks to test the performance of vision-language models (VLMs). Several state-of-the-art VLMs (e.g. CLIP, BLIP-2) have achieved near-perfect performance on widely-used image-text retrieval benchmar…

Cited by 0SourceScholar
2023

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding

EMNLP 2023long main

Webpages have been a rich, scalable resource for vision-language and language only tasks. Yet only pieces of webpages are kept in existing datasets: image-caption pairs, long text articles, or raw HTML, never all in one place. Webpage tasks have resultingly received little attention and structured i…

Cited by 0SourcecodeScholar
2022

QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

EMNLP 2022industry

Large Language Models (LLMs) have shown impressive results on a variety of text understanding tasks. Search queries though pose a unique challenge, given their short-length and lack of nuance or context. Complicated feature engineering efforts do not always lead to downstream improvements as their p…

Cited by 31SourcePDFScholar
2022

Transforming Sequence Tagging Into A Seq2Seq Task

EMNLP 2022main

Pretrained, large, generative language models (LMs) have had great success in a wide range of sequence tagging and structured prediction tasks. Casting a sequence tagging task as a Seq2Seq one requires deciding the formats of the input and output sequences. However, we lack a principled understandin…

2021

MURAL: Multimodal, Multitask Representations Across Languages

EMNLP 2021finding

Both image-caption pairs and translation pairs provide the means to learn deep representations of and connections between languages. We use both types of pairs in MURAL (MUltimodal, MUltitask Representations Across Languages), a dual encoder that solves two tasks: 1) image-text matching and 2) trans…

Cited by 29SourcePDFScholar