← Authors

Junyi Li

61 papers · 2019–2025 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🀝 Dynamic Duo (26) πŸ† Grand Slam πŸ‘₯ Mega-Team (32) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (215) πŸ“ˆ Trend Setter ⚑ Prolific Year (10) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (61)

Conferences

ACL (14) COLING (7) EMNLP (7) NIPS (7) ICLR (4) NAACL (4) SEMEVAL (4) AAAI (3) CVPR (2) ECCV (2) IJCAI (2) IJCNLP (2) AISTATS (1) ICCV (1) ICML (1)

Top co-authors

Ji-Rong Wen (26) Wayne Xin Zhao (23) Tianyi Tang (16) Heng Huang (11) Xin Zhao (7) Xiaoxue Cheng (6) Jian-Yun Nie (6) Jinhao Jiang (6) Bin Wang (5) Feihu Huang (5)

Keywords

large language model (13) text generation (9) pretrained language model (6) federated learning (6) ensemble learning (5) bilevel optimization (5) text classification (4) question answering (4) variance reduction (4) pre-trained language model (4) neural network (3) generative adversarial network (3) transfer learning (3) monte carlo tree search (3) language model (3) hallucination detection (3) image captioning (2) multimodal learning (2) offensive language detection (2) named entity recognition (2)

Papers

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework EMNLP 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning ICLR 2025
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025
Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models ACL 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation ACL 2025
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling ACL 2025
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement NAACL 2025
DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates ACL 2025
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising AAAI 2025
Device-Wise Federated Network Pruning CVPR 2024
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects ECCV 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024
Exploring Context Window of Large Language Models via Decomposed Positional Vectors NIPS 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NIPS 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024
The steerability of large language models toward data-driven personas NAACL 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024
LLMBox: A Comprehensive Library for Large Language Models ACL 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
Dropout Enhanced Bilevel Training ICLR 2024
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NIPS 2023
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising CVPR 2023
Federated Conditional Stochastic Optimization NIPS 2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition ICCV 2023
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models EMNLP 2023
Zero-shot Visual Question Answering with Language Model Feedback ACL 2023
MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023
The Web Can Be Your Oyster for Improving Language Models ACL 2023
Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NIPS 2023
Learning to Transfer Prompts for Text Generation NAACL 2022
Enhanced Bilevel Optimization via Bregman Distance NIPS 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones ECCV 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022
A Survey of Vision-Language Pre-Trained Models IJCAI 2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models IJCNLP 2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients NIPS 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ACL 2021
Pretrained Language Model for Text Generation: A Survey IJCAI 2021
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements COLING 2020
CLUE: A Chinese Language Understanding Evaluation Benchmark COLING 2020
Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation SEMEVAL 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SEMEVAL 2020
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language SEMEVAL 2020
Generating Realistic Stock Market Order Streams AAAI 2020
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language COLING 2020
Lijunyi at SemEval-2020 Task 4: An ALBERT Model Based Maximum Ensemble with Different Training Sizes and Depths for Commonsense Validation and Explanation COLING 2020
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction EMNLP 2019
Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums SEMEVAL 2019