← Authors

Qipeng Guo

58 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (6) 🏠 Conference Loyalist (21) 🧬 Topic Evolution πŸ† Grand Slam πŸ”¬ Deep Specialist (18) 🀝 Dynamic Duo (43) πŸ—ƒοΈ Keyword Collector (57) ⚑ Prolific Year (5) ❓ The Questioner (6) πŸ’Ž Century Club (56) πŸ”₯ Unstoppable (7)

Conferences

ACL (21) EMNLP (17) COLING (5) AAAI (4) NIPS (4) ICLR (2) ICML (2) AISTATS (1) IJCNLP (1) NAACL (1)

Top co-authors

Xipeng Qiu (45) Zheng Zhang (23) Hang Yan (16) Yue Zhang (14) Xiangkun Hu (13) Xuanjing Huang (10) Zhangyue Yin (9) Dahua Lin (9) Kai Lv (8) Xiaoran Liu (8)

Keywords

large language model (24) instruction tuning (5) code generation (4) language model (4) uncertainty quantification (3) memory optimization (3) knowledge graph (3) in-context learning (3) attention mechanism (3) graph neural network (3) hallucination detection (3) multi-step reasoning (3) generative model (2) downstream task (2) coreference resolution (2) abstract meaning representation (2) chain-of-thought reasoning (2) question answering (2) named entity recognition (2) document-level extraction (2)

Papers

Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction AAAI 2026
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs AAAI 2026
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search ACL 2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization ACL 2025
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices ACL 2025
Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025
LongSafety: Enhance Safety for Long-Context LLMs ACL 2025
How to Mitigate Overfitting in Weak-to-strong Generalization? ACL 2025
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens ICLR 2025
Multi-Document Event Extraction Using Large and Small Language Models EMNLP 2025
VideoRoPE: What Makes for Good Video Rotary Position Embedding? ICML 2025
Case2Code: Scalable Synthetic Data for Code Generation COLING 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025
ReAttention: Training-Free Infinite Context with Finite Attention Scope ICLR 2025
CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation ACL 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk EMNLP 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NIPS 2024
Can Language Models Learn to Skip Steps? NIPS 2024
On Affine Homotopy between Language Encoders NIPS 2024
Knowledge-Centric Hallucination Detection EMNLP 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024
Explicit Memory Learning with Expectation Maximization EMNLP 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models ACL 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods ACL 2024
Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024
AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality EMNLP 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction ACL 2023
Evaluating Open-QA Evaluation NIPS 2023
Dual Cache for Long Document Neural Coreference Resolution ACL 2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering ACL 2023
Do Large Language Models Know What They Don’t Know? ACL 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts EMNLP 2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding EMNLP 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication EMNLP 2023
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way EMNLP 2023
DORE: Document Ordered Relation Extraction based on Generative Framework EMNLP 2022
Dialogue Meaning Representation for Task-Oriented Dialogue Systems EMNLP 2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022
What Dense Graph Do You Need for Self-Attention? ICML 2022
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021
A Unified Generative Framework for Various NER Subtasks ACL 2021
A Unified Generative Framework for Various NER Subtasks IJCNLP 2021
BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020
Joint Parsing and Generation for Abstractive Summarization AAAI 2020
Multi-Scale Self-Attention for Text Classification AAAI 2020
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020
CoLAKE: Contextualized Language and Knowledge Embedding COLING 2020
Star-Transformer NAACL 2019