Shengding Hu
23 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(23)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(95)
π₯
Unstoppable
(6)
π
Century Club
(23)
Conferences
ACL (11)
EMNLP (5)
ICLR (2)
NIPS (2)
COLING (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(5)
pre-trained language model
(4)
language model
(3)
pre-trained model
(2)
few-shot learning
(2)
transfer learning
(2)
inference acceleration
(2)
parameter-efficient tuning
(2)
benchmark evaluation
(2)
pretrained language model
(2)
neural network optimization
(2)
zero-shot learning
(2)
delta tuning
(2)
large multimodal model
(2)
commonsense knowledge
(1)
knowledge representation
(1)
model evaluation
(1)
prompt engineering
(1)
contrastive learning
(1)
question answering
(1)
Papers
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
COLING 2025
AutoClean: LLMs Can Prepare Their Training Corpus
NAACL 2025
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
ICLR 2025
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
ACL 2024
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
ACL 2024
βBench: Extending Long Context Evaluation Beyond 100K Tokens
ACL 2024
LEGENT: Open Platform for Embodied Agents
ACL 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
EMNLP 2024
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
EMNLP 2024
Predicting Emergent Abilities with Infinite Resolution Evaluation
ICLR 2024
Wonβt Get Fooled Again: Answering Questions with False Premises
ACL 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
ACL 2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
EMNLP 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
Exploring Lottery Prompts for Pre-trained Language Models
ACL 2023
Prototypical Verbalizer for Prompt-based Few-shot Tuning
ACL 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022
Sparse Structure Search for Delta Tuning
NIPS 2022
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
ACL 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
EMNLP 2022
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
ACL 2021
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
IJCNLP 2021
Graph Policy Network for Transferable Active Learning on Graphs
NIPS 2020