Yaliang Li

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory ACL 2026 Retrieval Heads are Dynamic ACL 2026 Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026 Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents ACL 2026 Knowledge Graph-Guided Retrieval Augmented Generation NAACL 2025 ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning IJCAI 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025 Safety Layers in Aligned Large Language Models: The Key to LLM Security ICLR 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models ICLR 2025 Agent-Oriented Planning in Multi-Agent Systems ICLR 2025 ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025 Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models CVPR 2025 Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025 ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization COLING 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NIPS 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 Improving LoRA in Privacy-preserving Federated Learning ICLR 2024 TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series ICLR 2024 EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023 Learned Index with Dynamic $\epsilon$ ICLR 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023 iFlood: A Stable and Effective Regularizer ICLR 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression EMNLP 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021 Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021 Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021 Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains IJCNLP 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021 Differential Privacy for Text Analytics via Natural Text Sanitization IJCNLP 2021 Differential Privacy for Text Analytics via Natural Text Sanitization ACL 2021 Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents ACL 2020 Learning to Mutate with Hypergradient Guided Population NIPS 2020 Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering AAAI 2020 Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 On the Generation of Medical Question-Answer Pairs AAAI 2020 Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering AAAI 2020 Simple and Deep Graph Convolutional Networks ICML 2020 Automated Relational Meta-learning ICLR 2020 Multi-grained Named Entity Recognition ACL 2019 On the Estimation of Treatment Effect with Text Covariates IJCAI 2019 Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019 Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019 Cooperative Denoising for Distantly Supervised Relation Extraction COLING 2018 Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018 Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Extracting Relation Descriptors with Conditional Random Fields IJCNLP 2011