Caiqi Zhang

15 papers · 2023–2026 · 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.

Achievements

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+3 more ↓

🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (42) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (6) 💎 Century Club · Bronze

🗃️ Keyword Collector (75) ❓ The Questioner (2) ⚡ Prolific Year · Productive

Venues

EMNLP (7) ACL (5) EACL (1) IJCNLP (1) NAACL (1)

Top co-authors

Nigel Collier (9) Dong Yu (3) Xinting Huang (3) Chengzu Li (3) Ivan Vulić (3) Andreas Vlachos (3) Zhisong Zhang (3) Ruihan Yang (3) Sen Yang (2) Xiaochen Zhu (2)

Research topics

Artificial Intelligence (14) Core AI (14) Machine Learning (10) Natural Language Processing (8) Learning Types (7) Deep Learning (5) Resources & Methods (5) Generation (4) Applications (3) Core Methods (3) Application Areas (2) Architectures (2) Models (2) Computer Science (1) Computer Vision (1)

Keywords

large language model (6) uncertainty quantification (5) long-form generation (4) hallucination detection (4) text generation (3) confidence estimation (2) uncertainty expression (2) hallucination mitigation (2) vision-language model (2) direct preference optimization (1) semantic parsing (1) visual question answering (1) preference optimization (1) supervised learning (1) uncertainty modeling (1) chain-of-thought reasoning (1) graph centrality (1) question answering (1) instruction tuning (1) visual representation (1)

Papers

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation ACL 2026 Value of Information: A Framework for Human–Agent Communication ACL 2026 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025 All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning EMNLP 2025 Atomic Calibration of LLMs in Long-Form Generations IJCNLP 2025 Can Large Language Models Generate High-quality Patent Claims? NAACL 2025 Conformity in Large Language Models ACL 2025 LoGU: Long-form Generation with Uncertainty Expressions ACL 2025 Lost in Embeddings: Information Loss in Vision–Language Models EMNLP 2025 UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025 Do We Need Language-Specific Fact-Checking Models? The Case of Chinese EMNLP 2024 Language is All a Graph Needs EACL 2024 LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024 TopViewRS: Vision-Language Models as Top-View Spatial Reasoners EMNLP 2024 Learning Action Conditions from Instructional Manuals for Instruction Understanding ACL 2023