← Authors

Yingbo Zhou

52 papers · 2014–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🀝 Dynamic Duo (36) πŸ‘₯ Mega-Team (35) 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (228) ⚑ Prolific Year (12) ❓ The Questioner (3) πŸ’Ž Century Club (52) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8)

Conferences

EMNLP (13) ACL (8) ICLR (7) NIPS (6) NAACL (5) CVPR (3) EACL (3) ICML (3) INTERSPEECH (2) IJCAI (1) JMLR (1)

Top co-authors

Caiming Xiong (36) Semih Yavuz (22) Kazuma Hashimoto (9) Silvio Savarese (8) Ye Liu (8) Rui Meng (8) Richard Socher (7) Shafiq Joty (7) Huan Wang (7) Lifu Tu (6)

Research topics

Privacy (1)

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

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
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models NAACL 2025
FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024
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
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
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 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
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution EMNLP 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
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
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models EMNLP 2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control NAACL 2022
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
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
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering ACL 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NIPS 2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database EMNLP 2022
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components ICLR 2021
Focused Attention Improves Document-Grounded Generation NAACL 2021
Testing Cross-Database Semantic Parsers With Canonical Utterances EMNLP 2021
Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label EMNLP 2021
Dense Hierarchical Retrieval for Open-domain Question Answering EMNLP 2021
Unsupervised Paraphrasing with Pretrained Language Models EMNLP 2021
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos CVPR 2021
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers ICLR 2021
Online Structured Meta-learning NIPS 2020
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition INTERSPEECH 2020
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ICML 2019
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ICLR 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
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016
Parallel Feature Selection Inspired by Group Testing NIPS 2014