Jialong Wu
26 papers · 2022–2026 · 11 conferences · across top CS/AI conferences
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Conferences
ACL (8)
ICML (4)
EMNLP (3)
NIPS (3)
COLING (2)
AAAI (1)
CORL (1)
EACL (1)
ECCV (1)
ICCV (1)
ICLR (1)
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Keywords
large language model
(6)
contrastive learning
(3)
causal inference
(2)
world model
(2)
query reformulation
(2)
conversational search
(2)
agent system
(2)
retrieval-augmented generation
(2)
model-based reinforcement learning
(2)
zero-shot learning
(1)
domain generalization
(1)
policy optimization
(1)
transfer learning
(1)
density estimation
(1)
reinforcement learning
(1)
active learning
(1)
autoregressive transformer
(1)
temporal reasoning
(1)
offline reinforcement learning
(1)
attention mechanism
(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