Bang Liu

49 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (13) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (87) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 👥 Mega-Team (28) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion 💎 Century Club (48) 🗃️ Keyword Collector (192) 🔥 Unstoppable (5) ❓ The Questioner 📈 Trend Setter ⚡ Prolific Year (11)

Conferences

ACL (14) EMNLP (13) ICLR (7) AAAI (3) IJCNLP (3) NAACL (2) CVPR (1) EACL (1) ECCV (1) ICCV (1) ICML (1) IJCAI (1) NIPS (1)

Top co-authors

Yefeng Zheng (9) Ruihui Zhao (9) Xiaoqiang Wang (6) Suyuchen Wang (6) Chenglin Wu (4) Sirui Hong (4) Di Niu (4) Santiago Miret (4) Zijing Ou (4) Lingfei Wu (4)

Research topics

Keywords

large language model (12) language model (4) question answering (4) question generation (4) information retrieval (3) multi-agent system (3) materials science (3) document hashing (3) reasoning chain (2) representation learning (2) retrieval-augmented generation (2) llm agent (2) domain adaptation (2) relation classification (2) neural network optimization (2) knowledge base (2) text generation (2) prompt engineering (2) model compression (2) in-context learning (2)

Papers

What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles AAAI 2026

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025

R3Mem: Bridging Memory Retention and Retrieval via Reversible Compression ACL 2025

Data Interpreter: An LLM Agent for Data Science ACL 2025

OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning ICLR 2025

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval NAACL 2025

Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025

VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text ICLR 2025

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection ICLR 2025

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts ICLR 2025

INDOORWORLD : Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment EMNLP 2025

AFlow: Automating Agentic Workflow Generation ICLR 2025

OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following ACL 2024

Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation AAAI 2024

FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition EMNLP 2024

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024

HoneyComb: A Flexible LLM-Based Agent System for Materials Science EMNLP 2024

Enhancing Agent Learning through World Dynamics Modeling EMNLP 2024

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024

GOAt: Explaining Graph Neural Networks via Graph Output Attribution ICLR 2024

Resonance RoPE: Improving Context Length Generalization of Large Language Models ACL 2024

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time ICML 2024

CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches ECCV 2024

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization EMNLP 2023

Identify Event Causality with Knowledge and Analogy AAAI 2023

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models ACL 2023

MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling ACL 2023

Search-Oriented Conversational Query Editing ACL 2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment ACL 2023

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification EACL 2023

Efficient Classification of Long Documents via State-Space Models EMNLP 2023

HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023

DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization ICCV 2023

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning EMNLP 2022

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering CVPR 2022

Feeding What You Need by Understanding What You Learned ACL 2022

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning ICLR 2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance EMNLP 2022

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting IJCNLP 2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction IJCNLP 2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management NAACL 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval ACL 2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction ACL 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks NIPS 2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization EMNLP 2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting ACL 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval IJCNLP 2021

Matching Article Pairs with Graphical Decomposition and Convolutions ACL 2019