Junyang Lin

CodePercept: Code-Grounded Visual STEM Perception for MLLMs CVPR 2026 DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints ACL 2026 From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning ACL 2026 GenMask: Adapting DiT for Segmentation via Direct Mask Generation CVPR 2026 Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos CVPR 2026 Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models ACL 2026 PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice ACL 2026 Qwen-Image-Layered: Towards Inherent Editability via Layer Decomposition CVPR 2026 Towards Better Correctness and Efficiency in Code Generation AAAI 2026 UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents ACL 2026 Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models ACL 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation ICLR 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ICML 2025 CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy ICCV 2025 CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025 Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs ACL 2025 DataMan: Data Manager for Pre-training Large Language Models ICLR 2025 Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025 Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ACL 2025 Efficient Long Context Fine-tuning with Chunk Flow ICML 2025 Fine-Tuning Language Models with Collaborative and Semantic Experts AAAI 2025 FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point ACL 2025 HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning ACL 2025 InSerter: Speech Instruction Following with Unsupervised Interleaved Pre-training ACL 2025 LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability EMNLP 2025 MARGE: Improving Math Reasoning with Guided Exploration ICML 2025 NOVA-63: Native Omni-lingual Versatile Assessments of 63 Disciplines EMNLP 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025 P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs EMNLP 2025 ProcessBench: Identifying Process Errors in Mathematical Reasoning ACL 2025 Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning ACL 2025 Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025 Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference ICLR 2025 Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025 START: Self-taught Reasoner with Tools EMNLP 2025 Synthesizing Software Engineering Data in a Test-Driven Manner ICML 2025 The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025 Turning the Tide: Repository-based Code Reflection EMNLP 2025 An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models ECCV 2024 Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 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 Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL 2024 Prompt Tuning for Unified Multimodal Pretrained Models ACL 2023 Transferring General Multimodal Pretrained Models to Text Recognition ACL 2023 Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022 OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework ICML 2022 CogView: Mastering Text-to-Image Generation via Transformers NeurIPS 2021 KNAS: Green Neural Architecture Search ICML 2021 Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021 Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation ACL 2021 A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019 Imitation Learning for Non-Autoregressive Neural Machine Translation ACL 2019 Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification EMNLP 2019 Towards Knowledge-Based Recommender Dialog System EMNLP 2019 Understanding and Improving Layer Normalization NeurIPS 2019 A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification IJCAI 2018 An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation EMNLP 2018 Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization ACL 2018 Bag-of-Words as Target for Neural Machine Translation ACL 2018 Deconvolution-Based Global Decoding for Neural Machine Translation COLING 2018 Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation EMNLP 2018 Global Encoding for Abstractive Summarization ACL 2018 Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation EMNLP 2018 Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification EMNLP 2018