Baobao Chang
Associate Professor
Researches computational linguistics and Chinese natural language processing, including syntactic and semantic analysis.
Baobao Chang's lab at Peking works on multilingual, translation & linguistics. 39 papers since 2023, 24 at top venues, mostly Findings of ACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 62%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 3 papers2026 · T1 2 · collecting
- 13 papers2025 · T1 10
- 11 papers2024 · T1 8
- 12 papers2023 · T1 4
T1 venuesOtherVenues: Findings of ACL, EMNLP, ACL, ICLR, NAACL
Research focuspaper titles that use each topic's words
- Multilingual, translation & linguistics2 papers
- syntactic0 papers
- researches computational0 papers
- chinese0 papers
- computational linguistics0 papers
Paper list
From DBLP.
20263 papers
- ACL (T1)A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task (opens in a new tab)
- Findings of ACLFaithLens: Detecting and Explaining Faithfulness Hallucination (opens in a new tab)
- AAAI (T1)Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning (opens in a new tab)
202513 papers
- ICLR (T1)A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation (opens in a new tab)
- ACL (T1)Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering (opens in a new tab)
- CIKM (T1)CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3 (opens in a new tab)
- EMNLP (T1)GATEAU: Selecting Influential Samples for Long Context Alignment (opens in a new tab)
- Findings of ACLLLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback (opens in a new tab)
- EMNLP (T1)Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance (opens in a new tab)
- NAACL (T1)MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation (opens in a new tab)
- ICCVWMultimodal Representation Alignment for Image Generation: Text-Image Interleaved Control is Easier than You Think (opens in a new tab)
- ICLR (T1)Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models (opens in a new tab)
- ACL (T1)Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints (opens in a new tab)
- EMNLP (T1)Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation (opens in a new tab)
- Findings of ACLTowards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning (opens in a new tab)
202411 papers
- EMNLP (T1)A Survey on In-context Learning (opens in a new tab)
- ECCV (T1)An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models (opens in a new tab)
- NeurIPS (T1)Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models (opens in a new tab)
- NAACL (T1)DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade (opens in a new tab)
- ACL (T1)Improving Event Definition Following For Zero-Shot Event Detection (opens in a new tab)
- Findings of ACLImproving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning (opens in a new tab)
- NAACL (T1)Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation (opens in a new tab)
- ICLR (T1)MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning (opens in a new tab)
- Findings of ACLPCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain (opens in a new tab)
- NeurIPS (T1)UltraEdit: Instruction-based Fine-Grained Image Editing at Scale (opens in a new tab)
- ACM MMVeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness (opens in a new tab)
202312 papers
- ACM Trans. Asian Low Resour. Lang. Inf. Process.A Span-based Target-aware Relation Model for Frame-semantic Parsing (opens in a new tab)
- EMNLP (T1)Can We Edit Factual Knowledge by In-Context Learning? (opens in a new tab)
- Findings of EMNLPCoarse-to-Fine Dual Encoders are Better Frame Identification Learners (opens in a new tab)
- NLPCCCoarse-to-Fine Entity Representations for Document-Level Relation Extraction (opens in a new tab)
- Findings of EMNLPGuiding AMR Parsing with Reverse Graph Linearization (opens in a new tab)
- World Sci. Annu. Rev. Artif. Intell.Local-to-Global Framework for Multi-target Frame Identification (opens in a new tab)
- NLPCCMixture-of-Experts for Biomedical Question Answering (opens in a new tab)
- Findings of ACLOn the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation (opens in a new tab)
- NeurIPS (T1)On the Pareto Front of Multilingual Neural Machine Translation (opens in a new tab)
- AAAI (T1)Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling (opens in a new tab)
- Findings of ACLSANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition (opens in a new tab)
- ICASSP (T1)TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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