Qipeng Guo

LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs AAAI 2026 SciPedia: Unlocking the Value of Scientific Data for Pre-training ACL 2026 Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment ACL 2026 A Survey of Inductive Reasoning for Large Language Models ACL 2026 Powering Verifiable Learning via Automated Evolutionary Data Synthesis ACL 2026 CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback ACL 2026 Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic ACL 2026 Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction AAAI 2026 UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025 How to Mitigate Overfitting in Weak-to-strong Generalization? ACL 2025 CritiQ: Mining Data Quality Criteria from Human Preferences ACL 2025 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 Case2Code: Scalable Synthetic Data for Code Generation COLING 2025 Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025 Multi-Document Event Extraction Using Large and Small Language Models EMNLP 2025 NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens ICLR 2025 ReAttention: Training-Free Infinite Context with Finite Attention Scope ICLR 2025 VideoRoPE: What Makes for Good Video Rotary Position Embedding? ICML 2025 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024 Code Needs Comments: Enhancing Code LLMs with Comment Augmentation ACL 2024 AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NIPS 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 Can Language Models Learn to Skip Steps? 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 Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk EMNLP 2024 LongWanjuan: Towards Systematic Measurement for Long Text Quality EMNLP 2024 On Affine Homotopy between Language Encoders NIPS 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 Dual Cache for Long Document Neural Coreference Resolution ACL 2023 CoLLiE: Collaborative Training of Large Language Models in an Efficient Way EMNLP 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 Do Large Language Models Know What They Don’t Know? ACL 2023 Exploiting Abstract Meaning Representation for Open-Domain Question Answering ACL 2023 An AMR-based Link Prediction Approach for Document-level Event Argument Extraction ACL 2023 Evaluating Open-QA Evaluation NIPS 2023 What Dense Graph Do You Need for Self-Attention? ICML 2022 DORE: Document Ordered Relation Extraction based on Generative Framework EMNLP 2022 RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022 Dialogue Meaning Representation for Task-Oriented Dialogue Systems EMNLP 2022 A Unified Generative Framework for Various NER Subtasks IJCNLP 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021 A Unified Generative Framework for Various NER Subtasks ACL 2021 Multi-Scale Self-Attention for Text Classification AAAI 2020 Joint Parsing and Generation for Abstractive Summarization AAAI 2020 BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020 CoLAKE: Contextualized Language and Knowledge Embedding COLING 2020 GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020 Star-Transformer NAACL 2019