Junyi Li
64 papers · 2019–2026 · 15 conferences · across top CS/AI conferences
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Conferences
ACL (17)
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
Keywords
large language model
(14)
text generation
(9)
pretrained language model
(6)
federated learning
(6)
ensemble learning
(5)
bilevel optimization
(5)
text classification
(4)
pre-trained language model
(4)
variance reduction
(4)
question answering
(4)
neural network
(3)
hallucination detection
(3)
language model
(3)
generative adversarial network
(3)
transfer learning
(3)
attention mechanism
(3)
monte carlo tree search
(3)
multimodal learning
(2)
image captioning
(2)
model evaluation
(2)
Papers
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
ACL 2026
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models
ACL 2026
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
ACL 2026
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
NAACL 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
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
AAAI 2025
ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework
EMNLP 2025
DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates
ACL 2025
Just Go Parallel: Improving the Multilingual Capabilities of Large Language Models
ACL 2025
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
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
Adaptive Federated Minimax Optimization with Lower Complexities
AISTATS 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
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
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
Device-Wise Federated Network Pruning
CVPR 2024
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
ECCV 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
EMNLP 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
ICLR 2024
Dropout Enhanced Bilevel Training
ICLR 2024
The steerability of large language models toward data-driven personas
NAACL 2024
Learning to Imagine: Visually-Augmented Natural Language Generation
ACL 2023
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
CVPR 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
Federated Conditional Stochastic Optimization
NIPS 2023
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
NIPS 2023
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
ICCV 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
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems
NIPS 2023
Enhanced Bilevel Optimization via Bregman Distance
NIPS 2022
Learning to Transfer Prompts for Text Generation
NAACL 2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
NAACL 2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
ECCV 2022
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation
COLING 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
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
AAAI 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
A Survey of Vision-Language Pre-Trained Models
IJCAI 2022
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
NIPS 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
IJCNLP 2021
Pretrained Language Model for Text Generation: A Survey
IJCAI 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
ACL 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
ACL 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
IJCNLP 2021
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
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
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
CLUE: A Chinese Language Understanding Evaluation Benchmark
COLING 2020
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
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
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