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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Feb 12, 2026 · Artificial Intelligence

Fast Generation, Weak Intelligence? The Harsh Reality of Diffusion Models for Agents

A comprehensive evaluation shows that while diffusion language models achieve higher generation speed through parallel decoding, they suffer from severe causal reasoning and formatting deficiencies, lagging far behind autoregressive models on embodied and tool‑calling agent tasks.

AI evaluationTool Callingagentic workflows
0 likes · 8 min read
Fast Generation, Weak Intelligence? The Harsh Reality of Diffusion Models for Agents
AI Frontier Lectures
AI Frontier Lectures
May 30, 2025 · Artificial Intelligence

Can Diffusion Chains Unlock More Creative Reasoning in Large Language Models?

Recent work from West Lake University's MAPLE Lab introduces a diffusion‑based “Divergent Thought Chain” that treats each intermediate denoising step of a diffusion language model as a reasoning step, using result‑based reinforcement learning to optimize non‑linear token generation and achieving state‑of‑the‑art performance on math and code tasks.

Reinforcement learningchain of thoughtcode generation
0 likes · 14 min read
Can Diffusion Chains Unlock More Creative Reasoning in Large Language Models?