Bei Chen
41 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (13) π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
π§
Keyword Pioneer
π
Cross-Pollinator
(12)
π
Conference Polyglot
(8)
π€
Dynamic Duo
(29)
π§¬
Topic Evolution
π
Keyword Champion
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(178)
β‘
Prolific Year
(6)
β
The Questioner
(4)
π₯
Unstoppable
(7)
π
Century Club
(41)
Conferences
EMNLP (13)
ACL (10)
IJCAI (5)
NIPS (4)
ICLR (3)
IJCNLP (3)
AAAI (2)
AISTATS (1)
Top co-authors
Research topics
Keywords
semantic parsing
(9)
large language model
(6)
natural language understanding
(5)
code generation
(4)
language model
(3)
follow-up query analysis
(3)
few-shot learning
(3)
compositional generalization
(3)
follow-up query
(2)
context-dependent parsing
(2)
query analysis
(2)
pre-trained language model
(2)
comparison relation
(2)
adjective-noun phrasing
(2)
in-context learning
(2)
retrieval-augmented generation
(2)
multimodal learning
(2)
markov chain
(2)
natural language interface
(2)
code completion
(1)
Papers
Generative Frame Sampler for Long Video Understanding
ACL 2025
Aria-UI: Visual Grounding for GUI Instructions
ACL 2025
ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks
ACL 2025
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
EMNLP 2024
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding
NIPS 2024
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
EMNLP 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
ICLR 2023
CodeT: Code Generation with Generated Tests
ICLR 2023
Skill-Based Few-Shot Selection for In-Context Learning
EMNLP 2023
Making Language Models Better Reasoners with Step-Aware Verifier
ACL 2023
Large Language Models Meet NL2Code: A Survey
ACL 2023
How Do In-Context Examples Affect Compositional Generalization?
ACL 2023
Reducing cohort bias in natural language understanding systems with targeted self-training scheme
ACL 2023
Question Answering as Programming for Solving Time-Sensitive Questions
EMNLP 2023
Reasoning Like Program Executors
EMNLP 2022
Unsupervised training data re-weighting for natural language understanding with local distribution approximation
EMNLP 2022
When Language Model Meets Private Library
EMNLP 2022
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation
IJCAI 2022
TAPEX: Table Pre-training via Learning a Neural SQL Executor
ICLR 2022
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction
ACL 2022
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
EMNLP 2022
AdapterShare: Task Correlation Modeling with Adapter Differentiation
EMNLP 2022
Learning Algebraic Recombination for Compositional Generalization
IJCNLP 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
AAAI 2021
Learning Algebraic Recombination for Compositional Generalization
ACL 2021
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
IJCAI 2021
βWhat Do You Mean by That?β A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
EMNLP 2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
ACL 2020
Compositional Generalization by Learning Analytical Expressions
NIPS 2020
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
IJCAI 2020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
IJCAI 2020
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
IJCAI 2020
Incomplete Utterance Rewriting as Semantic Segmentation
EMNLP 2020
FANDA: A Novel Approach to Perform Follow-Up Query Analysis
AAAI 2019
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
IJCNLP 2019
A Split-and-Recombine Approach for Follow-up Query Analysis
EMNLP 2019
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
EMNLP 2019
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
NIPS 2019
A Split-and-Recombine Approach for Follow-up Query Analysis
IJCNLP 2019
Central Limit Theorems for Conditional Markov Chains
AISTATS 2013
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
NIPS 2012