22 citations · 24 across the 7 of their papers we have counts for
7 papers
Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation
Lingjun Zhao, Dayeon Ki, Marine Carpuat +1
Language models are known to exhibit various forms of cultural bias in decision-making tasks, yet much less is known about their degree of cultural familiarity in open-ended text g…
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao, Hal Daumé
Faithful free-text explanations are important to ensure transparency in high-stakes AI decision-making contexts, but they are challenging to generate by language models and assess…
Can Hallucination Correction Improve Video-Language Alignment?
Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla +2
Large Vision-Language Models often generate hallucinated content that is not grounded in its visual inputs. While prior work focuses on mitigating hallucinations, we instead explor…
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao, Khanh Nguyen, Hal Daumé
Language models will inevitably err in situations with which they are unfamiliar. However, by effectively communicating uncertainties, they can still guide humans toward making sou…
Hallucination Detection for Grounded Instruction Generation
Lingjun Zhao, Khanh Nguyen, Hal Daumé
We investigate the problem of generating instructions to guide humans to navigate in simulated residential environments. A major issue with current models is hallucination: they ge…
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models
Lingjun Zhao, Khanh Nguyen, Hal Daumé
Recent work studies the cognitive capabilities of language models through psychological tests designed for humans. While these studies are helpful for understanding the general cap…
Cross-lingual Information Retrieval with BERT
Zhuolin Jiang, Amro El-Jaroudi, William Hartmann +2
Multiple neural language models have been developed recently, e.g., BERT and XLNet, and achieved impressive results in various NLP tasks including sentence classification, question…