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Author

Xue-Yong Fu

Observed names: Fu, Xue-Yong, Xue-yong Fu
Observed institution: Adidas (Canada)
OpenAlex ID: A5082860480
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
2023 · Md Tahmid Rahman Laskar, Xue-Yong Fu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 28
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Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
2024 · Xue-Yong Fu, Md Tahmid Rahman Laskar, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 18
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An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations
2022 · Md Tahmid Rahman Laskar, Cheng Chen, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 15
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations
2022 · Md Tahmid Rahman Laskar, Cheng Chen, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 14
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Improving Punctuation Restoration for Speech Transcripts via External Data
2021 · Xue-Yong Fu, Cheng Chen, et al. · Workshop on Noisy User-generated Text (W-NUT) · 10
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Entity-level Sentiment Analysis in Contact Center Telephone Conversations
2022 · Xue-yong Fu, Cheng Chen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 7
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Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop
2022 · Md Tahmid Rahman Laskar, Cheng Chen, et al. · Workshop on Data Science with Human-in-the-Loop (DaSH) · 6
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AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching
2023 · Md Tahmid Rahman Laskar, Cheng Chen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5
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An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts
2022 · Fu, Xue-Yong, Chen, Cheng, et al. · arXiv (Cornell University) · 5
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Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
2024 · Fu, Xue-Yong, Laskar, Md Tahmid Rahman, et al. · arXiv (Cornell University) · 4
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Developing a Production System for Purpose of Call Detection in Business Phone Conversations
2022 · Elena Khasanova, Pooja Hiranandani, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 4
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Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
2023 · Fu, Xue-Yong, Laskar, Md Tahmid Rahman, et al. · arXiv (Cornell University) · 3
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AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
2025 · Md Tahmid Rahman Laskar, Julien Bouvier Tremblay, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
2024 · Md Tahmid Rahman Laskar, Elena Khasanova, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Developing a Production System for Purpose of Call Detection in Business Phone Conversations
2022 · Khasanova, Elena, Hiranandani, Pooja, et al. · arXiv (Cornell University) · 1
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Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills
2026 · Laskar, Md Tahmid Rahman, Singh, Gundeep, et al. · arXiv (Cornell University)
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Can One Adapted Model Do It All? Fine-Tuning Strategy Selection for Customer Support LLMs
2026 · Laskar, Md Tahmid Rahman, Fu, Xue-Yong, et al. · arXiv (Cornell University)
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Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
2026 · Singh, Gundeep, Kavehzadeh, Parsa, et al. · arXiv (Cornell University)
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From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents
2026 · Laskar, Md Tahmid Rahman, Fu, Xue-Yong, et al. · arXiv (Cornell University)
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SFT or RL for Tool-Calling Agents? A Controlled Study Across Data, Method, and Scale
2026 · Md Tahmid Rahman Laskar, Xue-Yong Fu, et al. · Workshop for Research on Agent Language Models (REALM)
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When Better Turns Do Not Make Better Agents: Diagnosing the Gap Between Next-Turn Metrics and Workflow Success
2026 · Md Tahmid Rahman Laskar, Xue-Yong Fu, et al. · Workshop for Research on Agent Language Models (REALM)
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DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
2025 · Khasanova, Elena, Saini, Harsh, et al. · arXiv (Cornell University)
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AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
2025 · Laskar, Md Tahmid Rahman, Tremblay, Julien Bouvier, et al. · arXiv (Cornell University)
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DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
2025 · Xue-Yong Fu, Elena Khasanova, et al. · Workshop on New Frontiers in Summarization (NewSum)
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DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
2025 · Elena Khasanova, Harsh Saini, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 28
Citation count: 123
H-index: 6
I10-index: 5
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