6 citations · 11 across the 3 of their papers we have counts for
5 papers
Can Rationalization Improve Robustness?
Howard Chen, Jacqueline He, Karthik Narasimhan +1
A growing line of work has investigated the development of neural NLP models that can produce rationales--subsets of input that can explain their model predictions. In this paper,…
Linking Emergent and Natural Languages via Corpus Transfer
Shunyu Yao, Mo Yu, Yang Zhang +3
The study of language emergence aims to understand how human languages are shaped by perceptual grounding and communicative intent. Computational approaches to emergent communicati…
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
Carlos E. Jimenez, Olga Russakovsky, Karthik Narasimhan
We introduce CARETS, a systematic test suite to measure consistency and robustness of modern VQA models through a series of six fine-grained capability tests. In contrast to existi…
Multi-Stage Episodic Control for Strategic Exploration in Text Games
Jens Tuyls, Shunyu Yao, Sham Kakade +1
Text adventure games present unique challenges to reinforcement learning methods due to their combinatorially large action spaces and sparse rewards. The interplay of these two fac…
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon +2
This paper explores the task of translating natural language queries into regular expressions which embody their meaning. In contrast to prior work, the proposed neural model does…