Tagged articles

Generative Reward Model

3 articles · Page 1 of 1

Machine Learning Algorithms & Natural Language Processing

Jun 17, 2026 · Artificial Intelligence

Is More Chain‑of‑Thought Always Better? Introducing E‑GRM for On‑Demand LLM Reasoning

The article critically examines the assumption that longer chain‑of‑thought reasoning always improves large language model performance, presents the E‑GRM framework that dynamically decides when to invoke full CoT based on model‑internal uncertainty, and validates its efficiency and accuracy gains through extensive experiments and ablations.

Ablation StudyChain of ThoughtDynamic Routing

0 likes · 16 min read

Is More Chain‑of‑Thought Always Better? Introducing E‑GRM for On‑Demand LLM Reasoning

AI2ML AI to Machine Learning

Apr 25, 2026 · Artificial Intelligence

How DeepSeek V4 Advances Structured Optimization in the Large‑Model Era

The article analyses DeepSeek V4’s architectural innovations—including Compressed Sparse Attention, Heavily Compressed Attention, a cross‑layer MoE design, and an Agent‑RL framework with Generative Reward Models and multi‑teacher distillation—while comparing its long‑context capabilities and efficiency to rival LLMs such as GLM, Kimi, Claude, GPT and Gemini.

Agent Reinforcement LearningCompressed Sparse AttentionDeepSeek V4

0 likes · 7 min read

How DeepSeek V4 Advances Structured Optimization in the Large‑Model Era

Machine Learning Algorithms & Natural Language Processing

Apr 25, 2026 · Artificial Intelligence

Why DeepSeek‑V4 Took Twice as Long: Inside the Training‑Stability Challenges and Engineering Hacks

The DeepSeek‑V4 technical report reveals that the model’s doubled training time stems from massive token and parameter scaling, severe training‑stability issues in MoE layers, and a suite of engineering solutions—including Anticipatory Routing, SwiGLU Clamping, specialist expert training, and a custom sandbox cluster—while also exposing high hallucination rates despite impressive benchmark performance.

Agent TrainingDeepSeek V4Generative Reward Model

0 likes · 12 min read

Why DeepSeek‑V4 Took Twice as Long: Inside the Training‑Stability Challenges and Engineering Hacks