2 citations · 4 across the 5 of their papers we have counts for
7 papers
TACTICS: Taxonomy-Aware Intelligent Corpus Sampling for Machine Translation
Prasanth Bathala, Anubhav Shrimal, Sukhdeep Singh Kharbhanda +2
Large-scale machine-translation (MT) systems are typically evaluated on random samples from a corpus whose distributional composition is an artifact of how it was assembled. Such a…
StalePO: Anchored Token-Level Preference Optimization using Legacy Post-Edits in Machine Translation
Rohit Dhaipule, Sukhdeep Singh Kharbanda, Prasanth Bathala +2
Machine translation systems are periodically upgraded to stronger models, but the available preference signal is human post-edits of an older system's outputs, which the newer mode…
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury +1
Structured information extraction from unstructured text is critical for emerging Software 3.0 systems where LLM agents autonomously interact with APIs and tools. Recent approaches…
MARCO: Multi-Agent Real-time Chat Orchestration
Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas +4
Large language model advancements have enabled the development of multi-agent frameworks to tackle complex, real-world problems such as to automate tasks that require interactions…
NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension
Anubhav Shrimal, Avi Jain, Kartik Mehta +1
NER has been traditionally formulated as a sequence labeling task. However, there has been recent trend in posing NER as a machine reading comprehension task (Wang et al., 2020; Me…
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar +1
Efficient discovery of a speaker's emotional states in a multi-party conversation is significant to design human-like conversational agents. During a conversation, the cognitive st…