Zeqi Lin
18 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(16)
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(88)
Top co-authors
Research topics
Artificial Intelligence
(16)
Core AI
(15)
Machine Learning
(13)
Natural Language Processing
(13)
Deep Learning
(9)
Learning Types Β· Machine Learning
(7)
Resources & Methods
(6)
Applications Β· Natural Language Processing
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Generation
(4)
Learning Paradigms
(3)
Computer Science
(2)
Applications Β· Computer Science
(2)
Architectures
(2)
Keywords
large language model
(6)
compositional generalization
(5)
few-shot learning
(3)
code generation
(3)
pre-trained language model
(3)
semantic parsing
(2)
question answering
(2)
in-context learning
(2)
language model
(2)
natural language understanding
(2)
zero-shot learning
(2)
chain-of-thought reasoning
(1)
logical reasoning
(1)
prompt engineering
(1)
curriculum learning
(1)
weakly supervised learning
(1)
text classification
(1)
empirical study
(1)
program synthesis
(1)
self-supervised learning
(1)
Papers
SELF-EVOLVED REWARD LEARNING FOR LLMS
ICLR 2025
STAND-Guard: A Small Task-Adaptive Content Moderation Model
COLING 2025
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks
EMNLP 2024
Make Your LLM Fully Utilize the Context
NeurIPS 2024
CodeT: Code Generation with Generated Tests
ICLR 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
ICLR 2023
How Do In-Context Examples Affect Compositional Generalization?
ACL 2023
Making Language Models Better Reasoners with Step-Aware Verifier
ACL 2023
Skill-Based Few-Shot Selection for In-Context Learning
EMNLP 2023
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
IJCAI 2022
Reasoning Like Program Executors
EMNLP 2022
TAPEX: Table Pre-training via Learning a Neural SQL Executor
ICLR 2022
When Language Model Meets Private Library
EMNLP 2022
Iterative Utterance Segmentation for Neural Semantic Parsing
AAAI 2021
Learning Algebraic Recombination for Compositional Generalization
ACL 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
AAAI 2021
Compositional Generalization by Learning Analytical Expressions
NeurIPS 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
NeurIPS 2020