← Authors

Jindong Wang

60 papers · 2020–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (20) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) πŸ‘₯ Mega-Team (71) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution 🀝 Dynamic Duo (23) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (181) ❓ The Questioner ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (59) πŸ”₯ Unstoppable (6)

Conferences

ICML (12) ICLR (11) NIPS (10) ACL (9) EMNLP (4) IJCAI (3) INTERSPEECH (3) CVPR (2) AAAI (1) ACML (1) COLING (1) ECCV (1) ICCV (1) JMLR (1)

Top co-authors

Xing Xie (23) Yidong Wang (16) Hao Chen (14) Yue Zhang (9) Kaijie Zhu (9) Bhiksha Raj (9) Linyi Yang (8) Wenxin Hou (7) Xiang Li (6) Takahiro Shinozaki (6)

Keywords

large language model (14) semi-supervised learning (5) domain adaptation (3) representation learning (3) natural language understanding (3) domain generalization (3) evaluation benchmark (3) benchmark evaluation (3) text generation (3) prompt engineering (3) automatic speech recognition (3) out-of-distribution generalization (3) variational inference (2) zero-shot learning (2) image generation (2) adversarial training (2) responsible ai (2) text classification (2) sentiment analysis (2) knowledge distillation (2)

Papers

Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI 2026
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation ACL 2025
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025
Beyond Metrics: Evaluating LLMs Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios ACL 2025
Masked Autoencoders Are Effective Tokenizers for Diffusion Models ICML 2025
CycleResearcher: Improving Automated Research via Automated Review ICLR 2025
Realistic Evaluation of Deep Partial-Label Learning Algorithms ICLR 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer CVPR 2025
StringLLM: Understanding the String Processing Capability of Large Language Models ICLR 2025
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents ICML 2025
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ICML 2025
Topology-aware Neural Flux Prediction Guided by Physics ICML 2025
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist ICLR 2025
RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024
Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NIPS 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024
CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models NIPS 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models NIPS 2024
Detoxifying Large Language Models via Knowledge Editing ACL 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms ACL 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization ECCV 2024
AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners ICLR 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024
A General Framework for Learning from Weak Supervision ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI ICML 2024
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024
Dynamic Evaluation of Large Language Models by Meta Probing Agents ICML 2024
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024
PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NIPS 2023
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023
Out-of-distribution Representation Learning for Time Series Classification ICLR 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning ICCV 2023
USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction COLING 2022
Decoupled Federated Learning for ASR with Non-IID Data INTERSPEECH 2022
Margin Calibration for Long-Tailed Visual Recognition ACML 2022
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR INTERSPEECH 2022
Generalizing to Unseen Domains: A Survey on Domain Generalization IJCAI 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NIPS 2021
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching INTERSPEECH 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction NIPS 2021
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation CVPR 2020
Joint Partial Optimal Transport for Open Set Domain Adaptation IJCAI 2020