Yunfang Wu
Associate Professor
Researches natural language processing, language resource construction and educational applications of NLP.
Yunfang Wu's lab at Peking works on language & society and learning & education technology. 24 papers since 2023, 11 at top venues, mostly ACL and EMNLP. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 46%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 3 · collecting
- 7 papers2025 · T1 4
- 8 papers2024 · T1 3
- 4 papers2023 · T1 1
T1 venuesOtherVenues: ACL, EMNLP, Findings of ACL, Findings of EMNLP, NAACL
Research focuspaper titles that use each topic's words
- Language & society7 papers
- Learning & education technology1 paper
- construction1 paper
- resource0 papers
- educational0 papers
Paper list
From DBLP.
20265 papers
- ACL (T1)Aligning Language Models with Real-time Knowledge Editing (opens in a new tab)
- ACL (T1)Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error (opens in a new tab)
- ACL (T1)Safety-Utility Conflicts Are Not Global: Surgical Alignment via Head-Level Diagnosis (opens in a new tab)
- Findings of ACLSyncThink: A Training-Free Strategy to Align Inference Termination with Reasoning Saturation (opens in a new tab)
- Findings of ACLThink Outside the Policy: In-Context Steered Policy Optimization (opens in a new tab)
20257 papers
- Findings of ACL3DM: Distill, Dynamic Drop, and Merge for Debiasing Multi-modal Large Language Models (opens in a new tab)
- EMNLP (T1)Beyond Demonstrations: Dynamic Vector Construction from Latent Representations (opens in a new tab)
- Findings of EMNLPBeyond Spurious Signals: Debiasing Multimodal Large Language Models via Counterfactual Inference and Adaptive Expert Routing (opens in a new tab)
- EMNLP (T1)Composable Cross-prompt Essay Scoring by Merging Models (opens in a new tab)
- EMNLP (T1)CTR-Guided Generative Query Suggestion in Conversational Search (opens in a new tab)
- NAACL (T1)Dynamic Fisher-weighted Model Merging via Bayesian Optimization (opens in a new tab)
- Findings of EMNLPLarge Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions (opens in a new tab)
20248 papers
- NAACL (T1)FPT: Feature Prompt Tuning for Few-shot Readability Assessment (opens in a new tab)
- CCLGoing Beyond Passages: Readability Assessment for Book-Level Long Texts (opens in a new tab)
- LREC/COLINGMixture-of-Prompt-Experts for Multi-modal Semantic Understanding (opens in a new tab)
- LREC/COLINGMulti-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment (opens in a new tab)
- EMNLP (T1)SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation (opens in a new tab)
- NAACL (T1)Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction (opens in a new tab)
- Findings of EMNLPUnleashing Large Language Models' Proficiency in Zero-shot Essay Scoring (opens in a new tab)
- Findings of ACLUnsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding (opens in a new tab)
20234 papers
- NLPCCAccurate, Diverse and Multiple Distractor Generation with Mixture of Experts (opens in a new tab)
- ACL (T1)Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? (opens in a new tab)
- NeurocomputingASAT: Adaptively scaled adversarial training in time series (opens in a new tab)
- NLPCCTask-Related Pretraining with Whole Word Masking for Chinese Coherence Evaluation (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
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Alumni
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