Papers by Kevin Xu

3 papers
ASPECTNEWS: Aspect-Oriented Summarization of News Documents (2022.acl-long)

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Challenge: Existing methods for generating generic summarizations can't be used to generalize to these domains without seeing in-domain training data.
Approach: They use a dataset of real-world aspect-oriented summaries to annotate articles from two different news sub-domains.
Outcome: The proposed approach produces better focused summaries than existing systems without seeing in-domain training data.
TurkingBench: A Challenge Benchmark for Web Agents (2025.naacl-long)

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Challenge: TurkingBench is a benchmark consisting of tasks presented as web pages with textual instructions and multi-modal contexts.
Approach: They propose to use HTML pages to perform various annotation tasks on crowdsourcing platforms.
Outcome: The proposed model outperforms other models on the TurkingBench benchmark.
Automated Crossword Solving (2022.acl-long)

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Challenge: Using neural question answering models, our system generates answer candidates and then combines loopy belief propagation with local search to find full puzzle solutions.
Approach: They propose a new approach to automatically solving crossword puzzles that uses neural question answering models and loopy belief propagation with local search to find full puzzle solutions.
Outcome: The proposed system outperforms even the best human solvers and can solve crosswords from a wide range of domains with perfect accuracy.

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