Junyang Lin

63 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🐝 Cross-Pollinator (6) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (17) 🏆 Keyword Champion 🏆 Grand Slam 👥 Mega-Team (24) 🔬 Deep Specialist (19) 🗃️ Keyword Collector (241) 📈 Trend Setter ⚡ Prolific Year (9) ❓ The Questioner (2) 💎 Century Club (62) 🔥 Unstoppable (5)

Conferences

ACL (22) EMNLP (16) ICML (7) ICLR (5) IJCNLP (4) AAAI (2) NIPS (2) COLING (1) ECCV (1) ICCV (1) IJCAI (1) NAACL (1)

Top co-authors

Xu Sun (17) Jingren Zhou (15) Chang Zhou (13) Yichang Zhang (11) An Yang (10) Hongxia Yang (10) Bowen Yu (10) Binyuan Hui (9) Dayiheng Liu (8) Shuming Ma (7)

Keywords

large language model (14) language model (8) text generation (5) code generation (4) neural machine translation (4) instruction tuning (4) supervised fine-tuning (4) multimodal learning (4) benchmark evaluation (4) reinforcement learning (3) unsupervised learning (3) abstractive summarization (3) sequence-to-sequence model (3) sequence-to-sequence learning (3) neural network (3) multi-label classification (2) image captioning (2) text summarization (2) cross-modal retrieval (2) speech processing (2)

Papers

Towards Better Correctness and Efficiency in Code Generation AAAI 2026

Fine-Tuning Language Models with Collaborative and Semantic Experts AAAI 2025

Synthesizing Software Engineering Data in a Test-Driven Manner ICML 2025

ProcessBench: Identifying Process Errors in Mathematical Reasoning ACL 2025

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025

Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning ACL 2025

InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training ACL 2025

Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models ACL 2025

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning ACL 2025

Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025

The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025

FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ACL 2025

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025

NOVA-63: Native Omni-lingual Versatile Assessments of 63 Disciplines EMNLP 2025

CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025

START: Self-taught Reasoner with Tools EMNLP 2025

A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025

Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025

Turning the Tide: Repository-based Code Reflection EMNLP 2025

LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability EMNLP 2025

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy ICCV 2025

DataMan: Data Manager for Pre-training Large Language Models ICLR 2025

OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation ICLR 2025

MARGE: Improving Math Reasoning with Guided Exploration ICML 2025

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025

Efficient Long Context Fine-tuning with Chunk Flow ICML 2025

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models ECCV 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models ICLR 2024

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL 2024

Prompt Tuning for Unified Multimodal Pretrained Models ACL 2023

Transferring General Multimodal Pretrained Models to Text Recognition ACL 2023

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework ICML 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022

Learning Relation Alignment for Calibrated Cross-modal Retrieval IJCNLP 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation IJCNLP 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation ACL 2021

CogView: Mastering Text-to-Image Generation via Transformers NIPS 2021

KNAS: Green Neural Architecture Search ICML 2021

Towards Knowledge-Based Recommender Dialog System EMNLP 2019

Imitation Learning for Non-Autoregressive Neural Machine Translation ACL 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019

Towards Knowledge-Based Recommender Dialog System IJCNLP 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification IJCNLP 2019

Understanding and Improving Layer Normalization NIPS 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification EMNLP 2019

Bag-of-Words as Target for Neural Machine Translation ACL 2018

A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification IJCAI 2018

Deconvolution-Based Global Decoding for Neural Machine Translation COLING 2018

Global Encoding for Abstractive Summarization ACL 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation EMNLP 2018

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation EMNLP 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation EMNLP 2018

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization ACL 2018

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification EMNLP 2018