Quantizing Looped Transformers: Feedback Exposure and Calibration Blindness
cs.LG, cs.CL
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/EleutherAI/lm-evaluation-harness
Terminology
Sources
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- LoopQ: Quantization for Recursive Transformers
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- Training Large Language Models to Reason in a Continuous Latent Space
- What Survives When You Compress a Recursive Reasoner for the Edge?
- Quantization Robustness of Monotone Operator Equilibrium Networks
- QMamba: Post-Training Quantization for Vision State Space Models
- Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
- Nanbeige4.2-3B: Unlocking Agentic Capabilities in a Compact Model
- Precision Highway for Ultra Low-Precision Quantization
- Parcae: Scaling Laws For Stable Looped Language Models
- AdaTSQ: Pushing the Pareto Frontier of Diffusion Transformers via Temporal-Sensitivity Quantization
- Scaling Latent Reasoning via Looped Language Models
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