Yingbo Zhou
53 papers · 2014–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
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Artificial Intelligence
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question answering
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large language model
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zero-shot learning
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few-shot learning
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text generation
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transfer learning
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domain adaptation
(3)
cross-lingual transfer
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prompt tuning
(3)
logical form
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knowledge base
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semantic parsing
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natural language inference
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code generation
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contrastive learning
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retrieval-augmented generation
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passage retrieval
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information retrieval
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video understanding
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multi-task learning
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Papers
AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation
ACL 2026
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
NAACL 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
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
ICLR 2025
ARM: Alignment with Residual Energy-Based Model
NAACL 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
EACL 2024
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation
CVPR 2024
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
NeurIPS 2024
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
ACL 2024
Parameter-Efficient Detoxification with Contrastive Decoding
ACL 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
EMNLP 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
EMNLP 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
EMNLP 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NeurIPS 2024
Best-k Search Algorithm for Neural Text Generation
ACL 2023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
ICLR 2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
EMNLP 2023
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
ACL 2023
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution
EMNLP 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
IJCAI 2023
Long Document Summarization with Top-down and Bottom-up Inference
EACL 2023
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
SharPT: Shared Latent Space Prompt Tuning
EACL 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
NeurIPS 2023
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
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
NeurIPS 2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
NAACL 2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
ACL 2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
ACL 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
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
EMNLP 2022
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
ICLR 2021
Dense Hierarchical Retrieval for Open-domain Question Answering
EMNLP 2021
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label
EMNLP 2021
Focused Attention Improves Document-Grounded Generation
NAACL 2021
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
ICLR 2021
Testing Cross-Database Semantic Parsers With Canonical Utterances
EMNLP 2021
Unsupervised Paraphrasing with Pretrained Language Models
EMNLP 2021
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
CVPR 2021
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition
Interspeech 2020
Online Structured Meta-learning
NeurIPS 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
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Interspeech 2018
End-to-End Dense Video Captioning With Masked Transformer
CVPR 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
NeurIPS 2014