1 citations · 1 across the 5 of their papers we have counts for
7 papers
FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval
Tripti Shukla, Shwetha Somasundaram, Akshat Gupta +3
Evaluating fashion retrieval systems remains challenging due to the limited availability of benchmarks that capture the fine-grained, open-ended queries encountered in real-world s…
HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation
Tripti Shukla, Shwetha Somasundaram, Akshat Gupta +3
Generative recommendation models have shown promising results by representing items as semantic IDs and generating these IDs autoregressively. We introduce an approach showing that…
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
Nikhil Anand, Shwetha Somasundaram, Anirudh Phukan +2
Large Language Models (LLMs) encode vast amounts of parametric knowledge during pre-training. As world knowledge evolves, effective deployment increasingly depends on their ability…
PLD+: Accelerating LLM inference by leveraging Language Model Artifacts
Shwetha Somasundaram, Anirudh Phukan, Apoorv Saxena
To reduce the latency associated with autoretrogressive LLM inference, speculative decoding has emerged as a novel decoding paradigm, where future tokens are drafted and verified i…
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization
Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas +2
A poster from a long input document can be considered as a one-page easy-to-read multimodal (text and images) summary presented on a nice template with good design elements. Automa…
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering
Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena +2
With the enhancement in the field of generative artificial intelligence (AI), contextual question answering has become extremely relevant. Attributing model generations to the inpu…
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering
Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena +1
We address the task of evidence retrieval for long document question answering, which involves locating relevant paragraphs within a document to answer a question. We aim to assess…