Bang Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?

[BibT_eX]

[DOI]

Rushil Gupta

Jason Hartford

Bang Liu

CoRR, September, 2025

What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles.

[BibT_eX]

[DOI]

CoRR, August, 2025

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment.

[BibT_eX]

[DOI]

CoRR, June, 2025

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science.

[BibT_eX]

[DOI]

CoRR, May, 2025

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding.

[BibT_eX]

[DOI]

CoRR, February, 2025

Improving Clinical Note Generation from Complex Doctor-Patient Conversation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts.

[BibT_eX]

[DOI]

Qianggang Ding

Santiago Miret

Bang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ST-HO: Symmetry-Enhanced Energy-Efficient DAG Task Offloading Algorithm in Intelligent Transport System.

[BibT_eX]

[DOI]

Symmetry, February, 2024

TradExpert: Revolutionizing Trading with Mixture of Expert LLMs.

[BibT_eX]

[DOI]

Qianggang Ding

Haochen Shi

Bang Liu

CoRR, 2024

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A.

[BibT_eX]

[DOI]

CoRR, 2024

VCR: Visual Caption Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HoneyComb: A Flexible LLM-Based Agent System for Materials Science.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration.

[BibT_eX]

[DOI]

Jeremy Qin

Bang Liu

Quoc Dinh Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Resonance RoPE: Improving Context Length Generalization of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Classification of Long Documents via State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models.

[BibT_eX]

[DOI]

Zhong Zhang

Bang Liu

Junming Shao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling.

[BibT_eX]

[DOI]

Yu Song

Santiago Miret

Bang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Attend and select: A segment selective transformer for microblog hashtag generation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

[BibT_eX]

[DOI]

CoRR, 2022

Deep learning enhanced Rydberg multifrequency microwave recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning.

[BibT_eX]

[DOI]

Martin Weyssow

Houari A. Sahraoui

Bang Liu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

2021

S<sup>3</sup>: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Encoder-Decoder Neural Architecture Optimization for Keyword Spotting.

[BibT_eX]

[DOI]

Tong Mo

Bang Liu

CoRR, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Joint user association and resource allocation in HetNets based on user mobility prediction.

[BibT_eX]

[DOI]

Comput. Networks, 2020

2013

PASS: Parking-Lot-Assisted Carpool over Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

Jinqi Zhu

Yong Feng

Bang Liu

Int. J. Distributed Sens. Networks, 2013

A Study on the Tracking Problem in Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

Xing Zhang

Bang Liu

Jinchuan Tang

Int. J. Distributed Sens. Networks, 2013

2012

You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2012

2011

A self-management approach for service developers of PaaS.

[BibT_eX]

[DOI]

Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011

2005

A novel wavelet method for noise analysis of nonlinear circuits.

[BibT_eX]

[DOI]

Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005

Block SAPOR: block Second-order Arnoldi method for Passive Order Reduction of multi-input multi-output RCS interconnect circuits.

[BibT_eX]

[DOI]

Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005

Bang Liu

Bibliography

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