Yingbo Zhou
53 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (11)
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Academic Marathon
(11)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π€
Dynamic Duo
(36)
π₯
Mega-Team
(35)
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(228)
β‘
Prolific Year
(12)
β
The Questioner
(3)
π
Century Club
(52)
π
Trend Setter
π₯
Unstoppable
(8)
Conferences
EMNLP (13)
ACL (9)
ICLR (7)
NIPS (6)
NAACL (5)
CVPR (3)
EACL (3)
ICML (3)
INTERSPEECH (2)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
question answering
(9)
large language model
(8)
few-shot learning
(5)
text generation
(4)
zero-shot learning
(4)
transfer learning
(3)
knowledge base
(3)
natural language inference
(3)
prompt tuning
(3)
cross-lingual transfer
(3)
logical form
(3)
semantic parsing
(3)
retrieval-augmented generation
(3)
video understanding
(2)
code generation
(2)
intent classification
(2)
passage retrieval
(2)
multi-task learning
(2)
contrastive learning
(2)
domain adaptation
(2)
Papers
AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation
ACL 2026
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
ICLR 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknownan
EMNLP 2025
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
NAACL 2025
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024
ARM: Alignment with Residual Energy-Based Model
NAACL 2024
Parameter-Efficient Detoxification with Contrastive Decoding
ACL 2024
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
ACL 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
EMNLP 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NIPS 2024
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
CVPR 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
NIPS 2024
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
EACL 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
EMNLP 2024
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
NIPS 2023
Best-k Search Algorithm for Neural Text Generation
ACL 2023
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
ACL 2023
SharPT: Shared Latent Space Prompt Tuning
EACL 2023
Long Document Summarization with Top-down and Bottom-up Inference
EACL 2023
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution
EMNLP 2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
EMNLP 2023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
ICLR 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
IJCAI 2023
Modeling Multi-hop Question Answering as Single Sequence Prediction
ACL 2022
Efficient and Differentiable Conformal Prediction with General Function Classes
ICLR 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
NIPS 2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
ACL 2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
ACL 2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
NAACL 2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
EMNLP 2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
EMNLP 2022
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
ACL 2022
Dense Hierarchical Retrieval for Open-domain Question Answering
EMNLP 2021
Testing Cross-Database Semantic Parsers With Canonical Utterances
EMNLP 2021
Focused Attention Improves Document-Grounded Generation
NAACL 2021
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label
EMNLP 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
ICLR 2021
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
CVPR 2021
Unsupervised Paraphrasing with Pretrained Language Models
EMNLP 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
ICLR 2021
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition
INTERSPEECH 2020
Online Structured Meta-learning
NIPS 2020
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
ICLR 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
ICML 2019
End-to-End Dense Video Captioning With Masked Transformer
CVPR 2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
INTERSPEECH 2018
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
ICML 2016
Why Regularized Auto-Encoders learn Sparse Representation?
ICML 2016
Parallel Feature Selection Inspired by Group Testing
NIPS 2014