Image de couverture de livre

Tracking vs. Deciding: The Dual-Capability Bottleneck in Searchless Chess Transformers

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Quanhao, Jiang, Wei
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Explore the Reasoning Capability of LLMs in the Chess Testbed
par: Wang, Shu, et autres
Publié: (2024)

ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
par: Liu, Jincheng, et autres
Publié: (2025)

Tracking World States with Language Models: State-Based Evaluation Using Chess
par: Harang, Romain, et autres
Publié: (2025)

ChessQA: Evaluating Large Language Models for Chess Understanding
par: Wen, Qianfeng, et autres
Publié: (2025)

Amortized Planning with Large-Scale Transformers: A Case Study on Chess
par: Ruoss, Anian, et autres
Publié: (2024)

Complete Chess Games Enable LLM Become A Chess Master
par: Zhang, Yinqi, et autres
Publié: (2025)

Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
par: Yuan, Boqin, et autres
Publié: (2026)

Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers
par: Czech, Johannes, et autres
Publié: (2023)

Implicit Search via Discrete Diffusion: A Study on Chess
par: Ye, Jiacheng, et autres
Publié: (2025)

Generating Creative Chess Puzzles
par: Feng, Xidong, et autres
Publié: (2025)

Toward Modeling Player-Specific Chess Behaviors
par: Sogliuzzo, Loris, et autres
Publié: (2026)

Predicting User Perception of Move Brilliance in Chess
par: Zaidi, Kamron, et autres
Publié: (2024)

Predicting Human Chess Moves: An AI Assisted Analysis of Chess Games Using Skill-group Specific n-gram Language Models
par: Zhong, Daren, et autres
Publié: (2025)

Liquid Reasoning Transformers: A Sudoku-Based Prototype for Chess-Scale Algorithmic Tasks
par: Sahni, Shivansh, et autres
Publié: (2025)

Tracking Capabilities for Safer Agents
par: Odersky, Martin, et autres
Publié: (2026)

Critical Windows of Complexity Control: When Transformers Decide to Reason or Memorize
par: Ali, Sarwan
Publié: (2026)

Grounded Chess Reasoning in Language Models via Master Distillation
par: Tang, Zhenwei, et autres
Publié: (2026)

Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents
par: Poupart, Yoann
Publié: (2024)

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
par: Tang, Zhenwei, et autres
Publié: (2025)

Human-aligned Chess with a Bit of Search
par: Zhang, Yiming, et autres
Publié: (2024)

Enhancing Chess Reinforcement Learning with Graph Representation
par: Rigaux, Tomas, et autres
Publié: (2024)

Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff
par: Jacot, Arthur
Publié: (2023)

Abstract Concept Modelling in Conceptual Spaces: A Study on Chess Strategies
par: Banaee, Hadi, et autres
Publié: (2026)

Maia-2: A Unified Model for Human-AI Alignment in Chess
par: Tang, Zhenwei, et autres
Publié: (2024)

Visual Instruction Bottleneck Tuning
par: Oh, Changdae, et autres
Publié: (2025)

Complete Implementation of WXF Chinese Chess Rules
par: Tan, Daniel, et autres
Publié: (2024)

Towards Piece-by-Piece Explanations for Chess Positions with SHAP
par: Spinnato, Francesco
Publié: (2025)

Iterative Inference in a Chess-Playing Neural Network
par: Sandmann, Elias, et autres
Publié: (2025)

Diversifying AI: Towards Creative Chess with AlphaZero
par: Zahavy, Tom, et autres
Publié: (2023)

Mastering Chinese Chess AI (Xiangqi) Without Search
par: Chen, Yu, et autres
Publié: (2024)

InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck
par: Wei, Quanmin, et autres
Publié: (2025)

The Phasor Transformer: Resolving Attention Bottlenecks on the Unit Circle
par: Sigdel, Dibakar
Publié: (2026)

Improving Human Performance with Value-Aware Interventions: A Case Study in Chess
par: Narayanan, Saumik, et autres
Publié: (2026)

On the Size Complexity and Decidability of First-Order Progression
par: Classen, Jens, et autres
Publié: (2026)

Deciding the Satisfiability of Combined Qualitative Constraint Networks
par: Cohen-Solal, Quentin, et autres
Publié: (2026)

Learning to Decide with Just Enough: Information-Theoretic Context Summarization for CMDPs
par: Liu, Peidong, et autres
Publié: (2025)

DuoTok: Source-Aware Dual-Track Tokenization for Multi-Track Music Language Modeling
par: Lin, Rui, et autres
Publié: (2025)

Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
par: Rajendran, Prajit T, et autres
Publié: (2026)

Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
par: Tang, Ethan
Publié: (2026)

Mixture of Masters: Sparse Chess Language Models with Player Routing
par: Frisoni, Giacomo, et autres
Publié: (2026)