output
20082026
most citedTen Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

168 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan +1

We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentati…

cs.CL2022★ 18 cited

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs

Aditya Sharma, Apoorv Saxena, Chitrank Gupta +3

Recent years have witnessed much interest in temporal reasoning over knowledge graphs (KG) for complex question answering (QA), but there remains a substantial gap in human capabil…

cs.CL2021★ 10 cited

Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning

Sonal Garg, Sumanth Prabhu, Hemant Misra +1

Customer support via chat requires agents to resolve customer queries with minimum wait time and maximum customer satisfaction. Given that the agents as well as the customers can h…

cs.CL2020★ 2 cited

Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets

Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh +2

The availability of different pre-trained semantic models enabled the quick development of machine learning components for downstream applications. Despite the availability of abun…

cs.CL2018★ 13 cited

Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language

Maharajan Chellapriyadharshini, Anoop Toffy, Srinivasa Raghavan K. M. +1

We address the problem of efficient acoustic-model refinement (continuous retraining) using semi-supervised and active learning for a low resource Indian language, wherein the low…