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arXiv:2506.12158v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used to generate synthetic textual data for training smaller...
Can a 8B-parameter language model produce provably valid multi-step plans instead of plausible guesses? MIT CSAIL researchers introduce PDDL-INSTRUCT, an...
arXiv:2501.08454v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have become essential tools for digital task assistance. Their training relies...
arXiv:2509.15958v1 Announce Type: new Abstract: We introduce a new discrete-time attention model, termed the localmax dynamics, which interpolates between the...
arXiv:2509.15655v1 Announce Type: new Abstract: Transformer-based speech language models (SLMs) have significantly improved neural speech recognition and understanding. While existing...
arXiv:2509.16197v1 Announce Type: cross Abstract: Unified multimodal Large Language Models (LLMs) that can both understand and generate visual content hold...
arXiv:2506.00288v3 Announce Type: replace Abstract: Continued pretraining (CPT) is a popular approach to adapt existing large language models (LLMs) to...
Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective over interleaved text and discretized...
xAI introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors into a single set of weights...
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
Beyond Multiple Choice: Evaluating Steering Vectors for Summarization
Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
Beyond Imitation: Recovering Dense Rewards from Demonstrations
Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache
Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models
Beyond GPT architecture: Why Google’s Diffusion approach could reshape LLM deployment
