Moxin Li
16 papers · 2020–2026 · 4 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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🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🤝
Dynamic Duo
(13)
⚡
Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(77)
Venues
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Research topics
Artificial Intelligence
(15)
Core AI
(15)
Natural Language Processing
(10)
Resources & Methods
(8)
Machine Learning
(6)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Applications
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Application Areas
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
large language model
(11)
prompt optimization
(2)
robust optimization
(1)
domain generalization
(1)
domain adaptation
(1)
mathematical reasoning
(1)
direct preference optimization
(1)
document understanding
(1)
self-supervised learning
(1)
word sense disambiguation
(1)
lexical semantics
(1)
question answering
(1)
prompt engineering
(1)
model evaluation
(1)
response generation
(1)
preference learning
(1)
factual knowledge
(1)
explanation generation
(1)
machine reading comprehension
(1)
few-shot learning
(1)
Papers
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
ACL 2026
TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
ACL 2026
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
EMNLP 2025
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs
COLING 2025
HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
ACL 2025
Knowledge Boundary of Large Language Models: A Survey
ACL 2025
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
ACL 2025
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
COLING 2024
Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
EMNLP 2024
Dual-Phase Accelerated Prompt Optimization
EMNLP 2024
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
ACL 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
EMNLP 2024
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
ACL 2023
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
EMNLP 2023
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning
ACL 2022
Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract)
AAAI 2020