← Authors

Junxian He

53 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (19) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (181) ❓ The Questioner (3) ⚑ Prolific Year (11) πŸ“ˆ Trend Setter πŸ’Ž Century Club (53) πŸ”₯ Unstoppable (8)

Conferences

EMNLP (14) ACL (11) ICLR (10) NIPS (8) ICML (7) CONLL (1) EACL (1) IJCNLP (1)

Top co-authors

Graham Neubig (17) Taylor Berg-Kirkpatrick (11) shiqi chen (7) Xuezhe Ma (6) Jinghan Zhang (5) Junteng Liu (5) Yuxi Xie (4) Junlei Zhang (4) Siyang Gao (4) Chunting Zhou (4)

Research topics

Reinforcement Learning (1) Reasoning (1)

Keywords

large language model (11) language model (9) unsupervised learning (8) text generation (6) representation learning (4) dependency parsing (4) question answering (4) instruction tuning (3) cross-lingual transfer (3) machine translation (3) variational autoencoder (3) benchmark evaluation (2) grammar induction (2) text summarization (2) visual grounding (2) constituency parsing (2) contrastive learning (2) prompt engineering (2) in-context learning (2) domain adaptation (2)

Papers

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging ICML 2025
On the Perception Bottleneck of VLMs for Chart Understanding EMNLP 2025
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners ICLR 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis ACL 2025
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning ACL 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
High-Dimensional Interlingual Representations of Large Language Models ACL 2025
Non-myopic Generation of Language Models for Reasoning and Planning ICLR 2025
Predictive Data Selection: The Data That Predicts Is the Data That Teaches ICML 2025
Diving into Self-Evolving Training for Multimodal Reasoning ICML 2025
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction ICML 2025
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas ICML 2025
Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024
On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NIPS 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NIPS 2024
Prompt Optimization via Adversarial In-Context Learning ACL 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing ACL 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation ICML 2024
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ICLR 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning ICLR 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce EMNLP 2024
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN EMNLP 2023
Mega: Moving Average Equipped Gated Attention ICLR 2023
Self-Evaluation Guided Beam Search for Reasoning NIPS 2023
Automatic Model Selection with Large Language Models for Reasoning EMNLP 2023
Composing Parameter-Efficient Modules with Arithmetic Operation NIPS 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models NIPS 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models NIPS 2023
Contrastive Learning of Sentence Embeddings from Scratch EMNLP 2023
CTRLsum: Towards Generic Controllable Text Summarization EMNLP 2022
Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022
Capturing Structural Locality in Non-parametric Language Models ICLR 2022
Towards a Unified View of Parameter-Efficient Transfer Learning ICLR 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval ICML 2022
Efficient Nearest Neighbor Language Models EMNLP 2021
Dependency Induction Through the Lens of Visual Perception EMNLP 2021
The Source-Target Domain Mismatch Problem in Machine Translation EACL 2021
Dependency Induction Through the Lens of Visual Perception CONLL 2021
A Probabilistic Formulation of Unsupervised Text Style Transfer ICLR 2020
Revisiting Self-Training for Neural Sequence Generation ICLR 2020
On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020
Learning Sparse Prototypes for Text Generation NIPS 2020
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text IJCNLP 2019
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ACL 2019
Choosing Transfer Languages for Cross-Lingual Learning 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