Foundation Models

MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation ACL 2025 Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models ACL 2025 MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models ICLR 2025 Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models EMNLP 2025 MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning COLING 2025 Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models ICLR 2025 Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting WACV 2025 MiniELM: A Lightweight and Adaptive Query Rewriting Framework for E-Commerce Search Optimization ACL 2025 Minimal Pair-Based Evaluation of Code-Switching ACL 2025 MIO: A Foundation Model on Multimodal Tokens EMNLP 2025 Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning EMNLP 2025 Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations EMNLP 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025 Mixture of Parrots: Experts improve memorization more than reasoning ICLR 2025 Mixtures of In-Context Learners ACL 2025 MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions COLING 2025 MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios ACL 2025 MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning ICLR 2025 MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents EMNLP 2025 M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation ACL 2025 MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling CVPR 2025 MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR 2025 MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving IJCAI 2025 MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention ICML 2025