DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.
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CoRR, April, 2025
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.
CoRR, April, 2025
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values.
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CoRR, April, 2025
LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm.
CoRR, February, 2025
Aligning Instruction Tuning with Pre-training.
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CoRR, January, 2025
UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments.
IEEE Trans. Instrum. Meas., 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.
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Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
MuPT: A Generative Symbolic Music Pretrained Transformer.
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et al.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Observing Micromotives and Macrobehavior of Large Language Models.
CoRR, 2024
Can MLLMs Understand the Deep Implication Behind Chinese Images?
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CoRR, 2024
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.
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CoRR, 2024
OmniBench: Towards The Future of Universal Omni-Language Models.
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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
MMRA: A Benchmark for Multi-granularity Multi-image Relational Association.
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CoRR, 2024
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.
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CoRR, 2024
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models.
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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
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning.
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CoRR, 2024
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation.
CoRR, 2024
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.
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CoRR, 2024
MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces.
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
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.
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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
An extended ITL-VIKOR model using triangular fuzzy numbers for applications to water-richness evaluation.
Expert Syst. Appl., July, 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators.
CoRR, 2023
PilotAttnNet: Multi-modal Attention Network for End-to-End Steering Control.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
Sensors, 2019