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20172026
most citedGo for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

398 citations · 516 across the 14 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

A Diachronic Perspective on User Trust in AI under Uncertainty

Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady +1

In a human-AI collaboration, users build a mental model of the AI system based on its reliability and how it presents its decision, e.g. its presentation of system confidence and a…

cs.CL2023★ 42 cited

Chain-of-Verification Reduces Hallucination in Large Language Models

Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu +4

Generation of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in large language models. We study the ability of language models to deliberat…

cs.LG2023★ 1 cited

Variational Classification

Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen

We present a latent variable model for classification that provides a novel probabilistic interpretation of neural network softmax classifiers. We derive a variational objective to…

cs.CL2023

Extracting Victim Counts from Text

Mian Zhong, Shehzaad Dhuliawala, Niklas Stoehr

Decision-makers in the humanitarian sector rely on timely and exact information during crisis events. Knowing how many civilians were injured during an earthquake is vital to alloc…

cs.CL2023

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference

Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou +4

Machine translation quality estimation (QE) predicts human judgements of a translation hypothesis without seeing the reference. State-of-the-art QE systems based on pretrained lang…