activity
20182024
most citedDesign Challenges in Low-resource Cross-lingual Entity Linking

5 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.AI2024

ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning

Xiaodong Yu, Ben Zhou, Hao Cheng +1

Existing math datasets evaluate the reasoning abilities of large language models (LLMs) by either using the final answer or the intermediate reasoning steps derived from static exa…

cs.CL2024

Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering

Qingru Zhang, Xiaodong Yu, Chandan Singh +6

Large language models (LLMs) have demonstrated remarkable performance across various real-world tasks. However, they often struggle to fully comprehend and effectively utilize thei…

cs.CL2023★ 2 cited

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks

Xiaodong Yu, Hao Cheng, Xiaodong Liu +2

Despite remarkable advancements in mitigating hallucinations in large language models (LLMs) by retrieval augmentation, it remains challenging to measure the reliability of LLMs us…

cs.CL2023

Building Interpretable and Reliable Open Information Retriever for New Domains Overnight

Xiaodong Yu, Ben Zhou, Dan Roth

Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA). It is also very challenging, as i…

cs.CL2022★ 2 cited

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

Ben Zhou, Kyle Richardson, Xiaodong Yu +1

Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in devel…

cs.CL2021★ 4 cited

Event Linking: Grounding Event Mentions to Wikipedia

Xiaodong Yu, Wenpeng Yin, Nitish Gupta +1

Comprehending an article requires understanding its constituent events. However, the context where an event is mentioned often lacks the details of this event. A question arises: h…

cs.CL2020★ 2 cited

Pairwise Representation Learning for Event Coreference

Xiaodong Yu, Wenpeng Yin, Dan Roth

Natural Language Processing tasks such as resolving the coreference of events require understanding the relations between two text snippets. These tasks are typically formulated as…

cs.CL2020★ 5 cited

Design Challenges in Low-resource Cross-lingual Entity Linking

Xingyu Fu, Weijia Shi, Xiaodong Yu +2

Cross-lingual Entity Linking (XEL), the problem of grounding mentions of entities in a foreign language text into an English knowledge base such as Wikipedia, has seen a lot of res…

cs.CL2018

On the Strength of Character Language Models for Multilingual Named Entity Recognition

Xiaodong Yu, Stephen Mayhew, Mark Sammons +1

Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems. However, to date there has been no direct investigation of the inheren…