Ganqu Cui
26 papers · 2019–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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large language model
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reinforcement learning
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pre-trained language model
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adversarial defense
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multimodal large language model
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preference optimization
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backdoor attack
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natural language processing
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hallucination reduction
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reinforcement learning from human feedback
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few-shot learning
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reward model
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supervised fine-tuning
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instruction tuning
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text classification
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Papers
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
CVPR 2026
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
Free Process Rewards without Process Labels
ICML 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
CVPR 2025
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
ACL 2025
UltraIF: Advancing Instruction Following from the Wild
EMNLP 2025
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
EMNLP 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
ACL 2024
Noise Contrastive Alignment of Language Models with Explicit Rewards
NeurIPS 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
CVPR 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
EMNLP 2024
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
UltraMedical: Building Specialized Generalists in Biomedicine
NeurIPS 2024
A Close Look into the Calibration of Pre-trained Language Models
ACL 2023
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
EMNLP 2023
Decoder Tuning: Efficient Language Understanding as Decoding
ACL 2023
Few-shot Classification with Hypersphere Modeling of Prototypes
ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NeurIPS 2023
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
NeurIPS 2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
NAACL 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
NeurIPS 2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
ACL 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
IJCAI 2019