Junxian He
52 papers · 2018–2026 · 7 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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πΊοΈ Taxonomy Completionist (89) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(15)
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Dynamic Duo
(15)
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Triple Crown
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Topic Evolution
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Keyword Champion
(2)
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Bronze
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The Questioner
(4)
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Keyword Collector
(235)
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Renaissance Researcher
(7)
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Century Club Β· Silver
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Prolific Year Β· Prolific
Top co-authors
Research topics
Natural Language Processing
(39)
Machine Learning
(33)
Artificial Intelligence
(32)
Core AI
(27)
Deep Learning
(23)
Resources & Methods
(22)
Learning Types Β· Machine Learning
(19)
Learning Types Β· Deep Learning
(15)
Generation
(13)
Models
(13)
Applications
(11)
Application Areas
(9)
Core Methods
(9)
Learning Paradigms
(5)
Architectures
(4)
Keywords
large language model
(15)
language model
(8)
text generation
(7)
unsupervised learning
(7)
question answering
(4)
instruction tuning
(4)
machine translation
(4)
dependency parsing
(3)
text summarization
(3)
pre-trained language model
(3)
synthetic data
(3)
representation learning
(3)
reward model
(3)
variational autoencoder
(3)
mathematical reasoning
(3)
cross-lingual transfer
(3)
vision-language model
(3)
low-resource language
(3)
language modeling
(2)
contrastive learning
(2)
Papers
How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective
ACL 2026
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
ICML 2025
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
ICLR 2025
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
ICML 2025
Diving into Self-Evolving Training for Multimodal Reasoning
ICML 2025
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
ACL 2025
High-Dimensional Interlingual Representations of Large Language Models
ACL 2025
Non-myopic Generation of Language Models for Reasoning and Planning
ICLR 2025
On the Perception Bottleneck of VLMs for Chart Understanding
EMNLP 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
ACL 2025
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
ICML 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
ACL 2025
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
ICML 2025
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
NeurIPS 2024
Belief Revision: The Adaptability of Large Language Models Reasoning
EMNLP 2024
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
ICLR 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
NeurIPS 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
ICML 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing
ACL 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
EMNLP 2024
On the Universal Truthfulness Hyperplane Inside LLMs
EMNLP 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
NeurIPS 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
ICLR 2024
Automatic Model Selection with Large Language Models for Reasoning
EMNLP 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
NeurIPS 2023
Composing Parameter-Efficient Modules with Arithmetic Operation
NeurIPS 2023
Contrastive Learning of Sentence Embeddings from Scratch
EMNLP 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models
NeurIPS 2023
Mega: Moving Average Equipped Gated Attention
ICLR 2023
Self-Evaluation Guided Beam Search for Reasoning
NeurIPS 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
EMNLP 2023
Capturing Structural Locality in Non-parametric Language Models
ICLR 2022
CTRLsum: Towards Generic Controllable Text Summarization
EMNLP 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
ICML 2022
Prompt Consistency for Zero-Shot Task Generalization
EMNLP 2022
Towards a Unified View of Parameter-Efficient Transfer Learning
ICLR 2022
Dependency Induction Through the Lens of Visual Perception
CoNLL 2021
Efficient Nearest Neighbor Language Models
EMNLP 2021
The Source-Target Domain Mismatch Problem in Machine Translation
EACL 2021
A Probabilistic Formulation of Unsupervised Text Style Transfer
ICLR 2020
Learning Sparse Prototypes for Text Generation
NeurIPS 2020
On the Sentence Embeddings from Pre-trained Language Models
EMNLP 2020
Revisiting Self-Training for Neural Sequence Generation
ICLR 2020
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
EMNLP 2019
Choosing Transfer Languages for Cross-Lingual Learning
ACL 2019
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
ACL 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
ICLR 2019
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
ACL 2019
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation
ACL 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections
EMNLP 2018