Lu Cheng
26 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (7)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🌈
Renaissance Researcher
(9)
👥
Mega-Team
(40)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
💎
Century Club
(24)
⚡
Prolific Year
(8)
🔥
Unstoppable
(7)
🗃️
Keyword Collector
(114)
Conferences
EMNLP (6)
AAAI (4)
IJCAI (4)
ACL (3)
NIPS (3)
COLING (2)
IJCNLP (2)
AACL (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(10)
uncertainty quantification
(7)
conformal prediction
(6)
text classification
(3)
bias mitigation
(3)
prediction set
(2)
reinforcement learning
(2)
intersectional bia
(2)
cyberbullying detection
(2)
responsible ai
(2)
social media
(2)
knowledge distillation
(1)
algorithmic fairness
(1)
social media analysis
(1)
attention mechanism
(1)
epistemic uncertainty
(1)
few-shot learning
(1)
representation learning
(1)
information retrieval
(1)
multi-task learning
(1)
Papers
CP-Router: An Uncertainty-Aware Router Between LLM and LRM
AAAI 2026
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective
COLING 2025
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
AAAI 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
IJCAI 2025
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs
NAACL 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
EMNLP 2025
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
EMNLP 2025
Moral Self-correction is Not An Innate Capability in Language Models
IJCNLP 2025
Moral Self-correction is Not An Innate Capability in Language Models
AACL 2025
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
EMNLP 2024
NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing
NIPS 2024
Conformalized Time Series with Semantic Features
NIPS 2024
Demystifying Algorithmic Fairness in an Uncertain World
AAAI 2024
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning
ACL 2024
Large Language Models for Data Annotation and Synthesis: A Survey
EMNLP 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
Equal Opportunity of Coverage in Fair Regression
NIPS 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
IJCAI 2023
Intersectionality and Testimonial Injustice in Medical Records
ACL 2023
Debiasing Word Embeddings with Nonlinear Geometry
COLING 2022
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
ACL 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
IJCNLP 2021
Causal Learning for Socially Responsible AI
IJCAI 2021
Tracking Disaster Footprints with Social Streaming Data
AAAI 2020
PI-Bully: Personalized Cyberbullying Detection with Peer Influence
IJCAI 2019