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Jialong Wu

26 papers · 2022–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (52)
🌍 Conference Polyglot (10) πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ—ƒοΈ Keyword Collector (122) πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (14)

Conferences

ACL (8) ICML (4) EMNLP (3) NIPS (3) COLING (2) AAAI (1) CORL (1) EACL (1) ECCV (1) ICCV (1) ICLR (1)

Papers

Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties EACL 2026 Nested Browser-Use Learning for Agentic Information Seeking ACL 2026 AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment COLING 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement ACL 2025 SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding COLING 2025 OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking EMNLP 2025 AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation EMNLP 2025 EvolveSearch: An Iterative Self-Evolving Search Agent EMNLP 2025 TARS: Traffic-Aware Radar Scene Flow Estimation ICCV 2025 Long-Sequence Recommendation Models Need Decoupled Embeddings ICLR 2025 Trajectory World Models for Heterogeneous Environments ICML 2025 Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025 LocAgent: Graph-Guided LLM Agents for Code Localization ACL 2025 WebWalker: Benchmarking LLMs in Web Traversal ACL 2025 STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models ACL 2024 SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data ECCV 2024 DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024 HarmonyDream: Task Harmonization Inside World Models ICML 2024 Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning NIPS 2023 CLIPood: Generalizing CLIP to Out-of-Distributions ICML 2023 Flowformer: Linearizing Transformers with Conservation Flows ICML 2022 Supported Policy Optimization for Offline Reinforcement Learning NIPS 2022 Out-of-Dynamics Imitation Learning from Multimodal Demonstrations CORL 2022