Yichun Yin
26 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
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Conferences
ACL (9)
EMNLP (7)
AAAI (2)
IJCAI (2)
SEMEVAL (2)
COLING (1)
ICLR (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
knowledge distillation
(6)
model compression
(5)
language model
(4)
large language model
(4)
word embedding
(3)
automated theorem proving
(3)
pre-trained language model
(3)
transfer learning
(3)
knowledge transfer
(3)
model reuse
(2)
pretrained language model
(2)
catastrophic forgetting
(2)
mathematical reasoning
(2)
formal proof
(2)
dialogue system
(2)
reinforcement learning
(2)
sentiment classification
(2)
neural architecture search
(2)
neural network optimization
(2)
progressive training
(2)
Papers
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
ACL 2026
Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
ACL 2026
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
ACL 2025
Preparing Lessons for Progressive Training on Language Models
AAAI 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
Reusing Pretrained Models by Multi-linear Operators for Efficient Training
NIPS 2023
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems
ACL 2023
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function
ACL 2023
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models
ACL 2023
NewsDialogues: Towards Proactive News Grounded Conversation
ACL 2023
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models
EMNLP 2023
bert2BERT: Towards Reusable Pretrained Language Models
ACL 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
EMNLP 2022
FPT: Improving Prompt Tuning Efficiency via Progressive Training
EMNLP 2022
Generate & Rank: A Multi-task Framework for Math Word Problems
EMNLP 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
ACL 2021
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
IJCNLP 2021
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
COLING 2020
TernaryBERT: Distillation-aware Ultra-low Bit BERT
EMNLP 2020
TinyBERT: Distilling BERT for Natural Language Understanding
EMNLP 2020
Dialog State Tracking with Reinforced Data Augmentation
AAAI 2020
Socialized Word Embeddings
IJCAI 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
SEMEVAL 2017
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension
EMNLP 2017
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
IJCAI 2016
Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
SEMEVAL 2015