Tianyu Gao
29 papers · 2019–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (59) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
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Dynamic Duo
(16)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(138)
Venues
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Research topics
Machine Learning
(20)
Natural Language Processing
(20)
Artificial Intelligence
(15)
Learning Types Β· Machine Learning
(12)
Deep Learning
(11)
Applications
(10)
Resources & Methods
(10)
Core AI
(9)
Learning Paradigms
(8)
Learning Types Β· Deep Learning
(8)
Application Areas
(7)
Core Methods
(5)
Generation
(4)
Models
(4)
Optimization & Theory
(4)
Keywords
few-shot learning
(8)
relation extraction
(5)
language model
(4)
in-context learning
(3)
relation classification
(3)
large language model
(3)
benchmark evaluation
(3)
prompt engineering
(3)
knowledge graph
(3)
retrieval-augmented generation
(3)
text mining
(2)
human evaluation
(2)
prototypical network
(2)
neural network
(2)
contrastive learning
(2)
text generation
(2)
named entity recognition
(2)
metric learning
(2)
information retrieval
(2)
relation learning
(2)
Papers
HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
ICLR 2025
High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning
MICCAI 2025
How to Train Long-Context Language Models (Effectively)
ACL 2025
Metadata Conditioning Accelerates Language Model Pre-training
ICML 2025
Evaluating Large Language Models at Evaluating Instruction Following
ICLR 2024
LitSearch: A Retrieval Benchmark for Scientific Literature Search
EMNLP 2024
Long-Context Language Modeling with Parallel Context Encoding
ACL 2024
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
ICLR 2024
Enabling Large Language Models to Generate Text with Citations
EMNLP 2023
Fine-Tuning Language Models with Just Forward Passes
NeurIPS 2023
MoQA: Benchmarking Multi-Type Open-Domain Question Answering
ACL 2023
Should You Mask 15% in Masked Language Modeling?
EACL 2023
The CRINGE Loss: Learning what language not to model
ACL 2023
What In-Context Learning βLearnsβ In-Context: Disentangling Task Recognition and Task Learning
ACL 2023
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models
COLING 2022
Ditch the Gold Standard: Re-evaluating Conversational Question Answering
ACL 2022
Recovering Private Text in Federated Learning of Language Models
NeurIPS 2022
Making Pre-trained Language Models Better Few-shot Learners
ACL 2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
ACL 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
EMNLP 2021
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
ACL 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
ICML 2020
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
EMNLP 2020
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
COLING 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
AACL 2020
Neural Snowball for Few-Shot Relation Learning
AAAI 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
EMNLP 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
AAAI 2019
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
EMNLP 2019