Yuanzhe Zhang
22 papers · 2014–2026 · 5 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.
Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (48)
π§¬
Topic Evolution
π€
Dynamic Duo
(22)
ποΈ
Keyword Collector
(107)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(14)
Natural Language Processing
(13)
Core AI
(12)
Deep Learning
(11)
Machine Learning
(11)
Applications
(9)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Learning Paradigms
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Resources & Methods
(3)
Understanding
(3)
Knowledge & Reasoning
(2)
Keywords
large language model
(8)
question answering
(5)
few-shot learning
(4)
machine reading comprehension
(4)
knowledge distillation
(3)
graph neural network
(3)
in-context learning
(3)
text classification
(2)
model interpretability
(2)
semantic parsing
(2)
small language model
(2)
knowledge graph
(2)
named entity recognition
(2)
attribution method
(2)
temporal reasoning
(1)
natural language inference
(1)
knowledge editing
(1)
natural language processing
(1)
text representation
(1)
attention mechanism
(1)
Papers
Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs
ACL 2026
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
COLING 2025
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
AAAI 2025
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
COLING 2025
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024
On the In-context Generation of Language Models
EMNLP 2024
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection
ACL 2023
Generative Calibration for In-context Learning
EMNLP 2023
Interpreting Sentiment Composition with Latent Semantic Tree
ACL 2023
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models
EMNLP 2023
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process
EMNLP 2023
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers
COLING 2022
Logic Traps in Evaluating Attribution Scores
ACL 2022
Alignment Rationale for Natural Language Inference
ACL 2021
Biomedical Concept Normalization by Leveraging Hypernyms
EMNLP 2021
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations
EMNLP 2021
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding
AAAI 2020
MIE: A Medical Information Extractor towards Medical Dialogues
ACL 2020
Scene Restoring for Narrative Machine Reading Comprehension
EMNLP 2020
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network
EMNLP 2019
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
ACL 2017
Question Answering over Linked Data Using First-order Logic
EMNLP 2014