Distillation Quantification for Large Language Models.
CoRR, January, 2025
Aligning Instruction Tuning with Pre-training.
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CoRR, January, 2025
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.
Trans. Mach. Learn. Res., 2024
KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation.
CoRR, 2024
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision.
CoRR, 2024
Can MLLMs Understand the Deep Implication Behind Chinese Images?
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CoRR, 2024
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.
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CoRR, 2024
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.
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CoRR, 2024
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.
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CoRR, 2024
I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.
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CoRR, 2024
GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models.
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CoRR, 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
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CoRR, 2024
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.
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CoRR, 2024
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis.
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CoRR, 2024
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.
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CoRR, 2024
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding.
CoRR, 2024
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.
CoRR, 2024
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark.
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CoRR, 2024
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation.
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CoRR, 2024
ChirpCom: A CSS based Underwater Acoustic Communication for Smart Devices.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023