Bailin Wang

Orcid: 0000-0002-3579-298X

According to our database1, Bailin Wang authored at least 62 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling.
CoRR, 2024

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models.
CoRR, 2024

Parallelizing Linear Transformers with the Delta Rule over Sequence Length.
CoRR, 2024

Language Model Evolution: An Iterated Learning Perspective.
CoRR, 2024

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models.
CoRR, 2024

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Gated Linear Attention Transformers with Hardware-Efficient Training.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

In-Context Language Learning: Architectures and Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lemur: Harmonizing Natural Language and Code for Language Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GenSim: Generating Robotic Simulation Tasks via Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning to Decode Collaboratively with Multiple Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Deep learning-based prediction framework of temperature control time for wide-thick slab hot rolling production.
Expert Syst. Appl., October, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
CoRR, 2023

Grammar Prompting for Domain-Specific Language Generation with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explain-then-translate: an analysis on improving program translation with self-generated explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Investigation of LLMs' Inefficacy in Understanding Converse Relations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Blockchain-Empowered Halal Fashion Traceability System in Indonesia.
Int. J. Inf. Syst. Supply Chain Manag., 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-agent Model of AGVs Online Scheduling in Automated Sorting Warehouse.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Comparison of temperature control time prediction models for wide and thick plates based on machine learning.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

A Prediction Method of Order Completion Time Based on BP-SVR.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

DQN-based online scheduling algorithm for hybrid flow shop to minimize the total tardiness.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Hyper-heuristic genetic algorithm for hybrid flow shop scheduling problem with unrelated parallel machines.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Multi-population genetic algorithm for seamless steel tube blank design considering delivery time.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

Algorithm Comparison for the Order Grouping Problem with Delivery Factors.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hierarchical Phrase-Based Sequence-to-Sequence Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times.
J. Intell. Manuf., 2021

The Impact of Customer Halal Supply Chain Knowledge on Customer Halal Fashion Purchase Intention.
Inf. Resour. Manag. J., 2021

Structured Reordering for Modeling Latent Alignments in Sequence Transduction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Synthesize Data for Semantic Parsing.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning from Executions for Semantic Parsing.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Meta-Learning for Domain Generalization in Semantic Parsing.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multi-load AGVs scheduling algorithm in automated sorting warehouse.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Research on Steelmaking-Continuous Casting Scheduling Problem with Uncertain Processing Times.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

An optimization method for rush order insertion rescheduling problem under the constraints of hot rolling process.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Improved Ant Colony System for Cast Planning Problem with Consideration of On-line Mould Width Adjustment.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Genetic Programming-based Heuristic Generation Algorithm for Steelmaking - Continuous Casting Scheduling.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

Heuristic algorithm of steel coil cutting with manufacturability.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing.
Proceedings of the 9th International Conference on Learning Representations, 2021

Meta-Learning to Compositionally Generalize.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A co-evolutionary genetic algorithm for the two-machine flow shop group scheduling problem with job-related blocking and transportation times.
Expert Syst. Appl., 2020

Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis.
Proceedings of the NOMS 2020, 2020

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Two-stage hybrid flowshop scheduling with simultaneous processing machines.
J. Sched., 2018

Permutation flowshop scheduling with time lag constraints and makespan criterion.
Comput. Ind. Eng., 2018

Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

A Neural Transition-based Model for Nested Mention Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Segmental Hypergraphs for Overlapping Mention Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Latent Opinions for Aspect-level Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Hybrid Metaheuristic for Multi-objective Steelmaking-Continuous Casting Scheduling.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Job Rejection Strategies in Genetic Algorithm for Permutation Flowshop Scheduling Problem with Rejection.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Estimation of Distribution Algorithm with Machine Learning for Permutation Flowshop Scheduling with Total Tardiness Criterion.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

2016
Model and Algorithm for Roller Pass Matching Problem.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016


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