Cover Image

The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Flamant, Cedric, Ghai, Udaya, Shimizu, Kanna
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hidden State Poisoning Attacks against Mamba-based Language Models
by: Mercier, Alexandre Le, et al.
Published: (2026)

Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)

BiSup: Bidirectional Quantization Error Suppression for Large Language Models
by: Zou, Minghui, et al.
Published: (2024)

Locally Coherent Parallel Decoding in Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2026)

Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
by: Wong, Wai Tuck, et al.
Published: (2026)

Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
by: Messina, Alberto, et al.
Published: (2026)

Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
by: Sun, Shaoning, et al.
Published: (2026)

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
by: Ghandeharioun, Asma, et al.
Published: (2024)

Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
by: Agarwal, Anmol, et al.
Published: (2026)

Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling
by: Amin, Adil
Published: (2026)

Training Large Language Models To Reason In Parallel With Global Forking Tokens
by: Jia, Sheng, et al.
Published: (2025)

ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
by: Lian, Long, et al.
Published: (2025)

Communicating Activations Between Language Model Agents
by: Ramesh, Vignav, et al.
Published: (2025)

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
by: Song, Yuda, et al.
Published: (2024)

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
by: Baumann, Joachim, et al.
Published: (2025)

ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
by: Li, Jia-Nan, et al.
Published: (2025)

Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
by: Ye, Tian, et al.
Published: (2024)

Language Bottleneck Models for Qualitative Knowledge State Modeling
by: Berthon, Antonin, et al.
Published: (2025)

Evaluation of Large Language Models via Coupled Token Generation
by: Benz, Nina Corvelo, et al.
Published: (2025)

Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
by: Li, Miao, et al.
Published: (2026)

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
by: Zhong, Yangyang, et al.
Published: (2026)

Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)

(How) Do Language Models Track State?
by: Li, Belinda Z., et al.
Published: (2025)

Language and Experience: A Computational Model of Social Learning in Complex Tasks
by: Colas, Cédric, et al.
Published: (2025)

Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
by: Yi, Hanling, et al.
Published: (2024)

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
by: Mehrafarin, Houman, et al.
Published: (2026)

Learning to (Learn at Test Time): RNNs with Expressive Hidden States
by: Sun, Yu, et al.
Published: (2024)

Parallel Test-Time Scaling for Latent Reasoning Models
by: You, Runyang, et al.
Published: (2025)

SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds
by: Cheng, Wuxinlin, et al.
Published: (2025)

From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
by: Schiekiera, Louis, et al.
Published: (2026)

Sectoral Coupling in Linguistic State Space
by: Dumbrava, Sebastian
Published: (2025)

Taipan: Efficient and Expressive State Space Language Models with Selective Attention
by: Van Nguyen, Chien, et al.
Published: (2024)

On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
by: Terzić, Aleksandar, et al.
Published: (2024)

Policy Learning with a Language Bottleneck
by: Srivastava, Megha, et al.
Published: (2024)

Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
by: Golowich, Noah, et al.
Published: (2026)

Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
by: Guo, Jizhou, et al.
Published: (2025)

Asynchronous and Segmented Bidirectional Encoding for NMT
by: Yang, Jingpu, et al.
Published: (2024)

Emissions and Performance Trade-off Between Small and Large Language Models
by: Garg, Anandita, et al.
Published: (2025)

Language Models can Self-Improve at State-Value Estimation for Better Search
by: Mendes, Ethan, et al.
Published: (2025)

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
by: Liu, Tian Yu, et al.
Published: (2024)