82 citations · 101 across the 6 of their papers we have counts for
5 papers · 1 filter
CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
Anant Khandelwal, Manish Gupta, Puneet Agrawal
Faithful generation in large language models (LLMs) is challenged by knowledge conflicts between parametric memory and external context. Existing contrastive decoding methods tuned…
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes
Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta +1
Query auto-completion (QAC) aims to suggest plausible completions for a given query prefix. Traditionally, QAC systems have leveraged tries curated from historical query logs to su…
Compression of Deep Learning Models for Text: A Survey
Manish Gupta, Puneet Agrawal
In recent years, the fields of natural language processing (NLP) and information retrieval (IR) have made tremendous progress thanksto deep learning models like Recurrent Neural Ne…
Ruuh: A Deep Learning Based Conversational Social Agent
Sonam Damani, Nitya Raviprakash, Umang Gupta +8
Dialogue systems and conversational agents are becoming increasingly popular in the modern society but building an agent capable of holding intelligent conversation with its users…
A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations
Umang Gupta, Ankush Chatterjee, Radhakrishnan Srikanth +1
Emotions are physiological states generated in humans in reaction to internal or external events. They are complex and studied across numerous fields including computer science. As…