arXiv Artificial IntelligenceFastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation
arXiv:2601.06199v5 Announce Type: replace-cross Abstract: Scaling Multimodal Large Language Models (MLLMs) to…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceAdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs
arXiv:2601.06022v2 Announce Type: replace-cross Abstract: Large language models (LLMs) exhibit complementary…
arXiv Artificial IntelligenceEpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning
arXiv:2601.03471v4 Announce Type: replace-cross Abstract: Reliable epidemiological reasoning requires…
arXiv Artificial IntelligenceDIP: Dynamic In-Context Planner For Diffusion Language Models
arXiv:2601.03199v2 Announce Type: replace-cross Abstract: Diffusion language models (DLMs) have shown strong…
arXiv Artificial IntelligenceEntropy-Aware Token Rejection for Improving Speculative Decoding
arXiv:2512.23765v2 Announce Type: replace-cross Abstract: Speculative decoding (SD) accelerates large…
arXiv Artificial IntelligenceScoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process
arXiv:2512.23213v4 Announce Type: replace-cross Abstract: We propose LLM-PeerReview, an unsupervised LLM…
arXiv Artificial IntelligenceKV Admission: Learning What to Write for Efficient Long-Context LLM Inference
arXiv:2512.17452v4 Announce Type: replace-cross Abstract: Long-context LLM inference is bottlenecked by the…
arXiv Artificial IntelligenceKascade: A Practical Sparse Attention Method for Long-Context LLM Inference
arXiv:2512.16391v2 Announce Type: replace-cross Abstract: Attention is the dominant source of latency during…
arXiv Artificial IntelligenceSGM: Safety Glasses for Multimodal Large Language Models via Neuron-Level Detoxification
arXiv:2512.15052v4 Announce Type: replace-cross Abstract: Disclaimer: Samples in this paper may be harmful…
arXiv Artificial IntelligenceLatency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
arXiv:2512.07019v4 Announce Type: replace-cross Abstract: The proliferation of Large Language Models (LLMs)…
arXiv Artificial IntelligenceBetter World Models Can Lead to Better Post-Training Performance
arXiv:2512.03400v2 Announce Type: replace-cross Abstract: We study how explicit world-modeling objectives…
arXiv Artificial IntelligenceScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth
arXiv:2512.03244v2 Announce Type: replace-cross Abstract: Training process reward models (PRMs) requires…
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