美团大模型学术论文精选
美团技术团队约 2 分钟01. Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. NeurIPS 2024. （PDF）
02. Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. （PDF）
03. SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. AAAI 2025. （PDF）
04. Learning or Self-aligning? Rethinking Instruction Fine-tuning. ACL 2024. （PDF）
05. Earlier Tokens Contribute More: Learning Direct Preference Optimization from Temporal Decay Perspective. ICLR 2025. (PDF)
06. DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL 2024.（PDF）
07. AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR 2025. (PDF)
01. EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference.（PDF）
02. FPTQ: Fine-grained Post-Training Quantization for Large Language Models. （PDF）
03. A Speed Odyssey for Deployable Quantization of LLMs. (PDF)
04. Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference. (PDF)
05. Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism. ACL 2024. （PDF）
01. Enhancing Multilingual Speech Recognition Through Language Prompt Tuning and Frame-level Language Adapter. ICASSP 2024.（PDF）
02. MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.（PDF）
03. Denoising with a Joint-Embedding Predictive Architecture. ICLR 2025.（PDF）
04. Lumen: Unleashing Versatile Vision-centric Capabilities of Large Multimodal Models. NeurIPS 2024. （PDF）
05. LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding. CVPR 2025. （PDF）
01. Who’s the MVP? A Game-theoretic Evaluation Benchmark for Modular Attribution in LLM Agents.（PDF）
02. Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration.（PDF）
03. Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content. CVPR 2025. （PDF）
04. Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. ACM MM 2024. （PDF）
05. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. NAACL 2024. （PDF）