Sijie Cheng
18 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(5)
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The Questioner
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Keyword Collector
(85)
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Research topics
Artificial Intelligence
(13)
Machine Learning
(10)
Core AI
(10)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Deep Learning
(7)
Applications
(6)
Learning Types Β· Deep Learning
(5)
Application Areas
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Understanding
(2)
Keywords
large language model
(7)
reinforcement learning
(3)
pre-trained language model
(3)
benchmark evaluation
(2)
unsupervised learning
(2)
language model
(2)
tool learning
(2)
vision-language model
(2)
automatic evaluation
(2)
supervised fine-tuning
(2)
self-supervised learning
(1)
chain-of-thought reasoning
(1)
commonsense knowledge
(1)
information retrieval
(1)
prompt engineering
(1)
sequential decision making
(1)
question answering
(1)
policy learning
(1)
natural language inference
(1)
explanation generation
(1)
Papers
Recurrent Reasoning with Vision-Language Models for Estimating Long-Horizon Embodied Task Progress
CVPR 2026
Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models
COLING 2025
StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs
ACL 2025
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
ICML 2024
DEEM: Dynamic Experienced Expert Modeling for Stance Detection
COLING 2024
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
CVPR 2024
Instruction-Guided Visual Masking
NeurIPS 2024
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
ICLR 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
ACL 2024
Evolving Connectivity for Recurrent Spiking Neural Networks
NeurIPS 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
ACL 2023
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks
ACL 2023
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
ACL 2023
Unsupervised Explanation Generation via Correct Instantiations
AAAI 2023
A Self-supervised Joint Training Framework for Document Reranking
NAACL 2022
Can Pre-trained Language Models Interpret Similes as Smart as Human?
ACL 2022
Unsupervised Editing for Counterfactual Stories
AAAI 2022
On Commonsense Cues in BERT for Solving Commonsense Tasks
ACL 2021