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cs.CL2026
CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models
Yihao Liang, Ze Wang, Hao Chen +7
Autoregressive large language models achieve strong results on many benchmarks, but decoding remains fundamentally latency-limited by sequential dependence on previously generated…
cs.AI2026
Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning
Yuval Kansal, Niraj K. Jha
Large language models have achieved near-expert performance in structured reasoning domains like mathematics and programming, yet their ability to perform compositional multi-hop r…
cs.CV2026
LinMU: Multimodal Understanding Made Linear
Hongjie Wang, Niraj K. Jha
Modern Vision-Language Models (VLMs) achieve impressive performance but are limited by the quadratic complexity of self-attention, which prevents their deployment on edge devices a…