Keming Lu
17 papers · 2022–2025 · 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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🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (43) 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird 📈 Trend Setter
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Natural Language Processing
(14)
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(9)
Resources & Methods
(9)
Learning Types · Machine Learning
(8)
Deep Learning
(5)
Application Areas
(5)
Applications
(5)
Generation
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory · Machine Learning
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
large language model
(7)
supervised fine-tuning
(3)
mathematical reasoning
(3)
relation extraction
(2)
reward model
(2)
language model
(2)
instruction tuning
(2)
biomedical nlp
(2)
domain adaptation
(1)
entity linking
(1)
transfer learning
(1)
information extraction
(1)
dialogue generation
(1)
named entity recognition
(1)
continual learning
(1)
data augmentation
(1)
multi-task learning
(1)
entity disambiguation
(1)
text summarization
(1)
preference optimization
(1)
Papers
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
ACL 2025
MARGE: Improving Math Reasoning with Guided Exploration
ICML 2025
ProcessBench: Identifying Process Errors in Mathematical Reasoning
ACL 2025
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
ICLR 2025
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
ACL 2025
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
ACL 2024
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
ICLR 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
ACL 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
EMNLP 2024
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
NAACL 2024
Speculative Contrastive Decoding
ACL 2024
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking
ACL 2023
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
ACL 2023
PIVOINE: Instruction Tuning for Open-world Entity Profiling
EMNLP 2023
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
Summarization as Indirect Supervision for Relation Extraction
EMNLP 2022