Hangfeng He
22 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (8)
π
Renaissance Researcher
(7)
π
Conference Polyglot
(8)
π
Academic Marathon
(8)
π
Triple Crown
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(103)
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
π
Century Club
(21)
Conferences
EMNLP (5)
NAACL (4)
ACL (3)
EACL (3)
ICML (3)
ICLR (2)
COLING (1)
NIPS (1)
Top co-authors
Keywords
large language model
(5)
question answering
(3)
named entity recognition
(3)
text classification
(2)
vision-language model
(2)
adversarial robustness
(1)
semi-supervised learning
(1)
neural tangent kernel
(1)
sequence labeling
(1)
structured prediction
(1)
zero-shot learning
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
knowledge transfer
(1)
natural language generation
(1)
transfer learning
(1)
in-context learning
(1)
natural language inference
(1)
machine-generated text detection
(1)
conformal prediction
(1)
Papers
Ranking Human and LLM Texts Using Locality Statistics
EACL 2026
The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
EMNLP 2025
Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts
ACL 2025
On the Role of Model Prior in Real-World Inductive Reasoning
EMNLP 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
EMNLP 2025
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
EMNLP 2025
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
NAACL 2025
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation
NAACL 2024
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
NAACL 2024
On Regularization and Inference with Label Constraints
ICML 2023
Weighted Training for Cross-Task Learning
ICLR 2022
Foreseeing the Benefits of Incidental Supervision
EMNLP 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Towards Understanding the Dynamics of the First-Order Adversaries
ICML 2020
QuASE: Question-Answer Driven Sentence Encoding
ACL 2020
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
NIPS 2020
The Local Elasticity of Neural Networks
ICLR 2020
QANom: Question-Answer driven SRL for Nominalizations
COLING 2020
Partial Or Complete, Thatβs The Question
NAACL 2019
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
EACL 2017
Detecting negation scope is easy, except when it isnβt
EACL 2017