← Authors

Xiang Zhou

32 papers · 2017–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (87) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (9) 🀝 Dynamic Duo (12) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (32) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (168) ❓ The Questioner (3)

Conferences

EMNLP (9) ACL (6) AAAI (5) EACL (3) NIPS (3) MICCAI (2) NAACL (2) COLING (1) ICLR (1)

Top co-authors

Mohit Bansal (12) Hai Zhao (5) Xi Zhou (5) Zhuosheng Zhang (4) Yichen Jiang (3) Runzhe Yang (3) Kun Kuang (3) Fei Wu (3) Cheng Chang (3) Yixin Nie (3)

Keywords

natural language inference (6) machine reading comprehension (3) attention mechanism (3) online learning (3) dialogue policy (3) reinforcement learning (3) compositional generalization (3) semantic role labeling (2) multi-step reasoning (2) knowledge graph (2) dataset bia (2) dependency parsing (2) large language model (2) text classification (2) data augmentation (2) dialogue system (2) cognitive modeling (1) sequence labeling (1) catastrophic forgetting (1) ensemble learning (1)

Papers

Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification NAACL 2025
3DGPS: A 3D Differentiable-Gaussian-based Planning Strategy for Liver Tumor Cryoablation MICCAI 2024
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction COLING 2024
Prompt-based Segmentation Model of Anatomical Structures and Lesions in CT Images MICCAI 2024
Measure Children’s Mindreading Ability with Machine Reading EMNLP 2023
Data Factors for Better Compositional Generalization EMNLP 2023
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness EMNLP 2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations NIPS 2023
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ACL 2023
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming ICLR 2023
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models EACL 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023
Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality EMNLP 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022
Forecasting Human Trajectory from Scene History NIPS 2022
Hidden Biases in Unreliable News Detection Datasets EACL 2021
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue AAAI 2021
Semantics-Aware Inferential Network for Natural Language Understanding AAAI 2021
Regime Switching Bandits NIPS 2021
Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions EMNLP 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020
DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension AAAI 2020
Semantics-Aware BERT for Language Understanding AAAI 2020
Dependency or Span, End-to-End Uniform Semantic Role Labeling AAAI 2019
On-line Dialogue Policy Learning with Companion Teaching EACL 2017
Affordable On-line Dialogue Policy Learning EMNLP 2017
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning EMNLP 2017