Junda Wu
25 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (8)
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Conference Polyglot
(7)
🐣
Hot Topic Early Bird
👥
Mega-Team
(34)
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Dynamic Duo
(17)
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Unstoppable
(5)
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Century Club
(21)
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Keyword Collector
(106)
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Prolific Year
(13)
Conferences
ACL (9)
EMNLP (7)
NAACL (3)
EACL (2)
ICLR (2)
AAAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(10)
prompt tuning
(4)
few-shot learning
(3)
causal inference
(3)
instruction tuning
(3)
federated learning
(2)
question answering
(2)
preference alignment
(2)
structural causal model
(2)
pretrained language model
(2)
mutual information
(2)
multimodal learning
(2)
multimodal large language model
(2)
direct preference optimization
(1)
image retrieval
(1)
adversarial learning
(1)
text classification
(1)
sequence labeling
(1)
benchmark evaluation
(1)
causal reasoning
(1)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
Evaluating Language Model Pluralism through In-the-wild Crowd Discussions
ACL 2026
SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
ACL 2026
CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
ACL 2026
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
EMNLP 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
Doc-React: Multi-page Heterogeneous Document Question-answering
ACL 2025
GUI Agents: A Survey
ACL 2025
CoMMIT: Coordinated Multimodal Instruction Tuning
EMNLP 2025
Image Difference Captioning via Adversarial Preference Optimization
EMNLP 2025
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
EMNLP 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
EMNLP 2025
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
ICLR 2025
Self-Updatable Large Language Models by Integrating Context into Model Parameters
ICLR 2025
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
NAACL 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
EMNLP 2025
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
EACL 2024
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
NAACL 2024
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
ACL 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
ACL 2024
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
AAAI 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
NIPS 2023
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets
ACL 2023
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling
EMNLP 2022