Ximing Lu
44 papers · 2021–2025 · 9 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (78) 🤝 Dynamic Duo (43)
🏆
Grand Slam
🤝
Dynamic Duo
(43)
👑
Triple Crown
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
⚡
Prolific Year · Prolific
🗃️
Keyword Collector
(198)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(35)
Core AI
(34)
Machine Learning
(28)
Natural Language Processing
(25)
Deep Learning
(19)
Learning Types · Machine Learning
(16)
Generation
(15)
Application Areas
(12)
Learning Types · Deep Learning
(12)
Resources & Methods
(8)
Reinforcement Learning
(7)
Applications
(7)
Methods
(7)
Models
(7)
Learning Paradigms
(4)
Keywords
language model
(15)
large language model
(10)
text generation
(8)
knowledge distillation
(6)
commonsense reasoning
(6)
reinforcement learning
(6)
vision-language model
(5)
multimodal learning
(4)
zero-shot learning
(4)
knowledge graph
(3)
unsupervised learning
(3)
self-supervised learning
(3)
question answering
(3)
reinforcement learning from human feedback
(2)
paraphrase generation
(2)
style transfer
(2)
model compression
(2)
visual reasoning
(2)
generative model
(2)
commonsense knowledge
(2)
Papers
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
ICLR 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
ICCV 2025
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
ICLR 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
EMNLP 2025
Synthetic Visual Genome
CVPR 2025
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
EMNLP 2024
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
NAACL 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models
NAACL 2024
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
ICLR 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
ICLR 2024
Position: A Roadmap to Pluralistic Alignment
ICML 2024
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
EMNLP 2024
Tailoring Self-Rationalizers with Multi-Reward Distillation
ICLR 2024
The Generative AI Paradox: “What It Can Create, It May Not Understand”
ICLR 2024
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
ICLR 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
NeurIPS 2024
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
ACL 2023
Faith and Fate: Limits of Transformers on Compositionality
NeurIPS 2023
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
CVPR 2023
Generating Sequences by Learning to Self-Correct
ICLR 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
ACL 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
NeurIPS 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
EMNLP 2023
STEER: Unified Style Transfer with Expert Reinforcement
EMNLP 2023
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
NAACL 2022
Generated Knowledge Prompting for Commonsense Reasoning
ACL 2022
MERLOT Reserve: Neural Script Knowledge Through Vision and Language and Sound
CVPR 2022
NaturalProver: Grounded Mathematical Proof Generation with Language Models
NeurIPS 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
NAACL 2022
ProsocialDialog: A Prosocial Backbone for Conversational Agents
EMNLP 2022
QUARK: Controllable Text Generation with Reinforced Unlearning
NeurIPS 2022
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering
EMNLP 2022
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
NAACL 2022
Twist Decoding: Diverse Generators Guide Each Other
EMNLP 2022
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
MERLOT: Multimodal Neural Script Knowledge Models
NeurIPS 2021
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
NAACL 2021
On-the-Fly Attention Modulation for Neural Generation
ACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021