Renren Jin
16 papers · 2022–2026 · 4 venues · across top CS/AI venues
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large language model
(11)
instruction tuning
(5)
benchmark evaluation
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model compression
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multi-task learning
(1)
preference learning
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reinforcement learning
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value alignment
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model evaluation
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language modeling
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llm evaluation
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knowledge transfer
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low-resource language
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generative model
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mixture of expert
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pairwise comparison
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language embedding
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supervised fine-tuning
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direct preference optimization
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zero-shot learning
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Papers
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
ACL 2026
Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models
ACL 2026
CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation
COLING 2025
Do Large Language Models Mirror Cognitive Language Processing?
COLING 2025
Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs
COLING 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria
ACL 2025
Towards a Unified Paradigm of Concept Editing in Large Language Models
EMNLP 2025
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
ACL 2024
Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment
ACL 2024
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
EMNLP 2024
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
NeurIPS 2024
LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models
COLING 2024
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
ACL 2024
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
NeurIPS 2024
CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types
EMNLP 2023
Informative Language Representation Learning for Massively Multilingual Neural Machine Translation
COLING 2022