2 citations · 4 across the 6 of their papers we have counts for
6 papers
Set-Theoretic Compositionality of Sentence Embeddings
Naman Bansal, Yash mahajan, Sanjeev Sinha +1
Sentence encoders play a pivotal role in various NLP tasks; hence, an accurate evaluation of their compositional properties is paramount. However, existing evaluation methods predo…
Benchmarking LLMs on the Semantic Overlap Summarization Task
John Salvador, Naman Bansal, Mousumi Akter +3
Semantic Overlap Summarization (SOS) is a constrained multi-document summarization task, where the constraint is to capture the common/overlapping information between two alternati…
LLMs as Meta-Reviewers' Assistants: A Case Study
Eftekhar Hossain, Sanjeev Kumar Sinha, Naman Bansal +11
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves assimilating diverse opinions from multiple expert peer…
The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties
Yash Mahajan, Naman Bansal, Shubhra Kanti Karmaker
In this paper, we adopted a retrospective approach to examine and compare five existing popular sentence encoders, i.e., Sentence-BERT, Universal Sentence Encoder (USE), LASER, Inf…
Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark
Naman Bansal, Mousumi Akter, Shubhra Kanti Karmaker Santu
In this paper, we introduce an important yet relatively unexplored NLP task called Multi-Narrative Semantic Overlap (MNSO), which entails generating a Semantic Overlap of multiple…
SAM: The Sensitivity of Attribution Methods to Hyperparameters
Naman Bansal, Chirag Agarwal, Anh Nguyen
Attribution methods can provide powerful insights into the reasons for a classifier's decision. We argue that a key desideratum of an explanation method is its robustness to input…