activity
20182023
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 880 across the 10 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CL2018★ 61 cited

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh +19

Building open domain conversational systems that allow users to have engaging conversations on topics of their choice is a challenging task. Alexa Prize was launched in 2016 to tac…

cs.CL2018★ 6 cited

Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervision

Chandra Khatri, Behnam Hedayatnia, Rahul Goel +3

As open-ended human-chatbot interaction becomes commonplace, sensitive content detection gains importance. In this work, we propose a two stage semi-supervised approach to bootstra…

cs.CL2018★ 2 cited

Contextual Topic Modeling For Dialog Systems

Chandra Khatri, Rahul Goel, Behnam Hedayatnia +4

Accurate prediction of conversation topics can be a valuable signal for creating coherent and engaging dialog systems. In this work, we focus on context-aware topic classification…

cs.AI2018★ 200 cited

Conversational AI: The Science Behind the Alexa Prize

Ashwin Ram, Rohit Prasad, Chandra Khatri +15

Conversational agents are exploding in popularity. However, much work remains in the area of social conversation as well as free-form conversation over a broad range of domains and…

cs.CL2018★ 24 cited

On Evaluating and Comparing Open Domain Dialog Systems

Anu Venkatesh, Chandra Khatri, Ashwin Ram +10

Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over r…