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Balaraman Ravindran

51 papers hereh-index 498.7k citations345 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author18
  • last author29

Across the 48 of 51 papers where every author was matched, so the position is known.

fields
  • cs.LG26
  • cs.SI6
  • cs.CV5
  • cs.AI4
  • cs.CL4
  • cs.RO3
same name
  • Balaraman Ravindran — 32 papers, h 6
  • Balaraman Ravindran — 5 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedHPRA: Hyperedge Prediction using Resource Allocation

41 citations · 134 across the 24 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2020

On Incorporating Structural Information to improve Dialogue Response Generation

Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran +1

We consider the task of generating dialogue responses from background knowledge comprising of domain specific resources. Specifically, given a conversation around a movie, the task…

cs.CL2020

Towards Transparent and Explainable Attention Models

Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan +3

Recent studies on interpretability of attention distributions have led to notions of faithful and plausible explanations for a model's predictions. Attention distributions can be c…

cs.CL2019

Let's Ask Again: Refine Network for Automatic Question Generation

Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra +2

In this work, we focus on the task of Automatic Question Generation (AQG) where given a passage and an answer the task is to generate the corresponding question. It is desired that…

cs.CL2018

Language Expansion In Text-Based Games

Ghulam Ahmed Ansari, Sagar J P, Sarath Chandar +1

Text-based games are suitable test-beds for designing agents that can learn by interaction with the environment in the form of natural language text. Very recently, deep reinforcem…

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