1 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
One Reference or Many? Rethinking Multi-Reference Training for Intermediate-Entropy Text Generation
Maitreya Prafulla Chitale, Ketaki Mangesh Shetye, Yash More +4
Natural language generation (NLG) ranges from highly constrained tasks, such as machine translation, to open-ended tasks like dialogue generation. Between them lie peer-review gene…
Think: Grounded Metacognitive Reasoning in Large Language Models
Abraham Paul Elenjical, Vivek Hruday Kavuri, Vasudeva Varma
Large Language Models (LLMs) demonstrate strong reasoning performance, yet their ability to reliably monitor, diagnose, and correct their own errors remains limited. We introduce a…
Graph-Guided Passage Retrieval for Author-Centric Structured Feedback
Maitreya Prafulla Chitale, Ketaki Mangesh Shetye, Harshit Gupta +3
Obtaining high-quality, pre-submission feedback is a critical bottleneck in the academic publication lifecycle for researchers. We introduce AutoRev, an automated author-centric fe…
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers
Harshit Gupta, Manav Chaudhary, Tathagata Raha +2
This paper describes our approach for SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. The BRAINTEASER task comprises multiple-choice Question Answering designe…
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
Manav Chaudhary, Harshit Gupta, Vasudeva Varma
The proliferation of LLMs in various NLP tasks has sparked debates regarding their reliability, particularly in annotation tasks where biases and hallucinations may arise. In this…