34 citations · 37 across the 13 of their papers we have counts for
15 papers
xPRT: Cross-Passage Retrieval Pretraining
Danush Khanna, Himanshu Singhal, Pranjal A. Chitale +1
Dense retrievers are a foundational component underlying modern RAG and search systems. Training these models typically requires a curated collection of annotated query-document pa…
HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
Arnav Goel, Pranjal A Chitale, Bhawna Paliwal +2
User behavior in the real world is diverse, cross-domain, and spans long time horizons. Existing user modeling benchmarks however remain narrow, focusing mainly on short sessions a…
Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs
Sandeep Mishra, Devichand Budagam, Anubhab Mandal +3
Real-time multimodal auto-completion is essential for digital assistants, chatbots, design tools, and healthcare consultations, where user inputs rely on shared visual context. We…
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu +1
Compact dual-encoder models are widely used for retrieval owing to their efficiency and scalability. However, such models often underperform compared to their Large Language Model…
Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems
Sandeep Mishra, Anubhab Mandal, Bishal Santra +3
Ghosting, the ability to predict a user's intended text input for inline query auto-completion, is an invaluable feature for modern search engines and chat interfaces, greatly enha…
SCULPT: Systematic Tuning of Long Prompts
Shanu Kumar, Akhila Yesantarao Venkata, Shubhanshu Khandelwal +3
Prompt optimization is essential for effective utilization of large language models (LLMs) across diverse tasks. While existing optimization methods are effective in optimizing sho…
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
Jatin Prakash, Anirudh Buvanesh, Bishal Santra +6
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set. XC algorithms used in real-world applications learn this mapping from…
Frugal Prompting for Dialog Models
Bishal Santra, Sakya Basak, Abhinandan De +2
The use of large language models (LLMs) in natural language processing (NLP) tasks is rapidly increasing, leading to changes in how researchers approach problems in the field. To f…
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models
Bishal Santra, Ravi Ghadia, Manish Gupta +1
In the field of Natural Language Processing, there are many tasks that can be tackled effectively using the cross-entropy (CE) loss function. However, the task of dialog generation…
A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems
Debjoy Saha, Bishal Santra, Pawan Goyal
We tackle the Dialogue Belief State Tracking(DST) problem of task-oriented conversational systems. Recent approaches to this problem leveraging Transformer-based models have yielde…
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Bishal Santra, Sumegh Roychowdhury, Aishik Mandal +4
Although many pretrained models exist for text or images, there have been relatively fewer attempts to train representations specifically for dialog understanding. Prior works usua…
Hierarchical Transformer for Task Oriented Dialog Systems
Bishal Santra, Potnuru Anusha, Pawan Goyal
Generative models for dialog systems have gained much interest because of the recent success of RNN and Transformer based models in tasks like question answering and summarization.…
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion
Bishal Santra, Prakhar Sharma, Sumegh Roychowdhury +1
In this paper, we have explored the effects of different minibatch sampling techniques in Knowledge Graph Completion. Knowledge Graph Completion (KGC) or Link Prediction is the tas…
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma, Bishal Santra, Abhik Jana +3
Recently, biomedical version of embeddings obtained from language models such as BioELMo have shown state-of-the-art results for the textual inference task in the medical domain. I…
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit
Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru +4
The configurational information in sentences of a free word order language such as Sanskrit is of limited use. Thus, the context of the entire sentence will be desirable even for b…