bailin wang
31 papers · 2018–2024 · 7 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.
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Artificial Intelligence
(21)
Machine Learning
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Natural Language Processing
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Deep Learning
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semantic parsing
(11)
large language model
(8)
language model
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named entity recognition
(3)
in-context learning
(3)
structured prediction
(2)
segmental hypergraph
(2)
benchmark evaluation
(2)
linear attention
(2)
neural network
(2)
code generation
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compositional generalization
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latent alignment
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bayesian inference
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feature learning
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Papers
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NeurIPS 2024
Gated Linear Attention Transformers with Hardware-Efficient Training
ICML 2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling
NeurIPS 2024
GenSim: Generating Robotic Simulation Tasks via Large Language Models
ICLR 2024
In-Context Language Learning: Architectures and Algorithms
ICML 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Learning to Decode Collaboratively with Multiple Language Models
ACL 2024
Lemur: Harmonizing Natural Language and Code for Language Agents
ICLR 2024
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
NeurIPS 2024
Parallelizing Linear Transformers with the Delta Rule over Sequence Length
NeurIPS 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
ICLR 2024
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
NAACL 2024
An Investigation of LLMsβ Inefficacy in Understanding Converse Relations
EMNLP 2023
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NeurIPS 2023
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
AAAI 2023
Explain-then-translate: an analysis on improving program translation with self-generated explanations
EMNLP 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
NeurIPS 2023
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques
ACL 2023
Hierarchical Phrase-Based Sequence-to-Sequence Learning
EMNLP 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
EMNLP 2022
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
ICLR 2021
Learning from Executions for Semantic Parsing
NAACL 2021
Learning to Synthesize Data for Semantic Parsing
NAACL 2021
Meta-Learning for Domain Generalization in Semantic Parsing
NAACL 2021
Meta-Learning to Compositionally Generalize
ACL 2021
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
NeurIPS 2021
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
ACL 2020
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
EMNLP 2019
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
EMNLP 2019
A Neural Transition-based Model for Nested Mention Recognition
EMNLP 2018
Neural Segmental Hypergraphs for Overlapping Mention Recognition
EMNLP 2018