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Linyong Nan

17 papers · 2020–2024 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (41) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸ‘₯ Mega-Team Β· Squad
🀝 Dynamic Duo (14) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (85)

Papers

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents ACL 2024 FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024 OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024 On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering NAACL 2024 OpenT2T: An Open-Source Toolkit for Table-to-Text Generation EMNLP 2024 Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies EMNLP 2023 Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios EMNLP 2023 LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control EACL 2023 OpenRT: An Open-source Framework for Reasoning Over Tabular Data ACL 2023 QTSumm: Query-Focused Summarization over Tabular Data EMNLP 2023 Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ACL 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 Leveraging Locality in Abstractive Text Summarization EMNLP 2022 R2D2: Robust Data-to-Text with Replacement Detection EMNLP 2022 ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples EMNLP 2022 DART: Open-Domain Structured Data Record to Text Generation NAACL 2021 Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages COLING 2020