Jiazheng Li
24 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(19)
Core AI
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Natural Language Processing
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Machine Learning
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Applications
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Deep Learning
(9)
Generation
(6)
Optimization & Theory
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large language model
(12)
rationale generation
(4)
explainable ai
(3)
text classification
(3)
text generation
(3)
automated assessment
(3)
student answer
(2)
student answer scoring
(2)
question answering
(2)
dialogue system
(2)
educational assessment
(2)
student answer assessment
(2)
narrative understanding
(2)
information extraction
(2)
preference optimization
(2)
educational technology
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kl divergence
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in-context learning
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probabilistic inference
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data augmentation
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Papers
SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph
EACL 2026
AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment
EMNLP 2025
An Automated Explainable Educational Assessment System Built on LLMs
AAAI 2025
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference
ACL 2025
EnigmaToM: Improve LLMsβ Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States
ACL 2025
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
AAAI 2025
LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
EMNLP 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
ICML 2025
RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
ACL 2025
Scalable Model Merging with Progressive Layer-wise Distillation
ICML 2025
Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time
EMNLP 2025
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
EMNLP 2024
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence
EMNLP 2024
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
ACL 2024
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
AAAI 2024
NarrativePlay: Interactive Narrative Understanding
EACL 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
EMNLP 2024
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
UAI 2023
Distilling ChatGPT for Explainable Automated Student Answer Assessment
EMNLP 2023
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization
EACL 2023
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting
AAAI 2022
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
EMNLP 2022
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
ACL 2021