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papers

Publications (36)

cs.CL2023

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

Jinyang Li, Binyuan Hui, Ge Qu +15

cs.CL2024

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

Linlu Qiu, Liwei Jiang, Ximing Lu +8

cs.CL2018

Neural Segmental Hypergraphs for Overlapping Mention Recognition

Bailin Wang, Wei Lu

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

cs.CL2024

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

Yi Ren, Shangmin Guo, Linlu Qiu +2

cs.CL2023

Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations

Zilu Tang, Mayank Agarwal, Alex Shypula +4

cs.CL2019

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs

Bailin Wang, Ivan Titov, Mirella Lapata

cs.LG2024

GenSim: Generating Robotic Simulation Tasks via Large Language Models

Lirui Wang, Yiyang Ling, Zhecheng Yuan +6

cs.CL2024

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin Su, Chen Xing +13

cs.CL2021

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

Tao Yu, Chien-Sheng Wu, Xi Victoria Lin +6

cs.CL2024

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Zhaofeng Wu, Linlu Qiu, Alexis Ross +6

cs.CL2024

In-Context Language Learning: Architectures and Algorithms

Ekin Akyürek, Bailin Wang, Yoon Kim +1

cs.CL2019

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities

Bailin Wang, Wei Lu

cs.CL2018

A Neural Transition-based Model for Nested Mention Recognition

Bailin Wang, Wei Lu, Yu Wang +1

cs.CL2025

RATTENTION: Towards the Minimal Sliding Window Size in Local-Global Attention Models

Bailin Wang, Chang Lan, Chong Wang +1

cs.CL2021

Meta-Learning for Domain Generalization in Semantic Parsing

Bailin Wang, Mirella Lapata, Ivan Titov

cs.CL2021

Learning to Synthesize Data for Semantic Parsing

Bailin Wang, Wenpeng Yin, Xi Victoria Lin +1

cs.CL2022

Hierarchical Phrase-based Sequence-to-Sequence Learning

Bailin Wang, Ivan Titov, Jacob Andreas +1

cs.CL2021

Structured Reordering for Modeling Latent Alignments in Sequence Transduction

Bailin Wang, Mirella Lapata, Ivan Titov

cs.CL2021

Meta-Learning to Compositionally Generalize

Henry Conklin, Bailin Wang, Kenny Smith +1

cs.CL2024

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

Zhongshen Zeng, Yinhong Liu, Yingjia Wan +16

cs.CL2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Tianbao Xie, Chen Henry Wu, Peng Shi +20

cs.CL2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models

Jiaxi Yang, Binyuan Hui, Min Yang +5

cs.CL2024

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models

Mayank Agarwal, Yikang Shen, Bailin Wang +2

cs.LG2025

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Songlin Yang, Bailin Wang, Yu Zhang +2

cs.LG2024

Gated Linear Attention Transformers with Hardware-Efficient Training

Songlin Yang, Bailin Wang, Yikang Shen +2

cs.CL2022

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

Lihan Wang, Bowen Qin, Binyuan Hui +7

cs.CL2024

Gated Slot Attention for Efficient Linear-Time Sequence Modeling

Yu Zhang, Songlin Yang, Ruijie Zhu +9

cs.CL2021

Learning from Executions for Semantic Parsing

Bailin Wang, Mirella Lapata, Ivan Titov

cs.CL2021

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Bailin Wang, Richard Shin, Xiaodong Liu +2

cs.CL2023

Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques

Daking Rai, Bailin Wang, Yilun Zhou +1

cs.CL2024

Learning to Decode Collaboratively with Multiple Language Models

Shannon Zejiang Shen, Hunter Lang, Bailin Wang +2

cs.CL2023

An Investigation of LLMs' Inefficacy in Understanding Converse Relations

Chengwen Qi, Bowen Li, Binyuan Hui +4

cs.CL2023

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

Daking Rai, Yilun Zhou, Bailin Wang +1

cs.CL2026

SPLA: Block Sparse Plus Linear Attention for Long Context Modeling

Bailin Wang, Dan Friedman, Tao Lei +1

cs.CL2023

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Bailin Wang, Zi Wang, Xuezhi Wang +3