Saved in:
| Main Authors: | Zhang, Yiming, Jacob, Athul Paul, Lai, Vivian, Fried, Daniel, Ippolito, Daphne |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.03893 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are aligned neural networks adversarially aligned?
by: Carlini, Nicholas, et al.
Published: (2023)
by: Carlini, Nicholas, et al.
Published: (2023)
Mastering Chinese Chess AI (Xiangqi) Without Search
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
Implicit Search via Discrete Diffusion: A Study on Chess
by: Ye, Jiacheng, et al.
Published: (2025)
by: Ye, Jiacheng, et al.
Published: (2025)
ChessQA: Evaluating Large Language Models for Chess Understanding
by: Wen, Qianfeng, et al.
Published: (2025)
by: Wen, Qianfeng, et al.
Published: (2025)
Diversifying AI: Towards Creative Chess with AlphaZero
by: Zahavy, Tom, et al.
Published: (2023)
by: Zahavy, Tom, et al.
Published: (2023)
Complete Chess Games Enable LLM Become A Chess Master
by: Zhang, Yinqi, et al.
Published: (2025)
by: Zhang, Yinqi, et al.
Published: (2025)
Generating Creative Chess Puzzles
by: Feng, Xidong, et al.
Published: (2025)
by: Feng, Xidong, et al.
Published: (2025)
ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models
by: Liu, Jincheng, et al.
Published: (2025)
by: Liu, Jincheng, et al.
Published: (2025)
Effective Prompt Extraction from Language Models
by: Zhang, Yiming, et al.
Published: (2023)
by: Zhang, Yiming, et al.
Published: (2023)
Tree Search for Language Model Agents
by: Koh, Jing Yu, et al.
Published: (2024)
by: Koh, Jing Yu, et al.
Published: (2024)
Iterative Inference in a Chess-Playing Neural Network
by: Sandmann, Elias, et al.
Published: (2025)
by: Sandmann, Elias, et al.
Published: (2025)
UniMaia: Steering Chess Policies with Language for Human-like Play
by: Siu, Sherman, et al.
Published: (2026)
by: Siu, Sherman, et al.
Published: (2026)
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
A Behavior-Based Knowledge Representation Improves Prediction of Players' Moves in Chess by 25%
by: Skidanov, Benny, et al.
Published: (2025)
by: Skidanov, Benny, et al.
Published: (2025)
Few-shot Personalization of LLMs with Mis-aligned Responses
by: Kim, Jaehyung, et al.
Published: (2024)
by: Kim, Jaehyung, et al.
Published: (2024)
Towards Piece-by-Piece Explanations for Chess Positions with SHAP
by: Spinnato, Francesco
Published: (2025)
by: Spinnato, Francesco
Published: (2025)
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
by: Jenner, Erik, et al.
Published: (2024)
by: Jenner, Erik, et al.
Published: (2024)
Liquid Reasoning Transformers: A Sudoku-Based Prototype for Chess-Scale Algorithmic Tasks
by: Sahni, Shivansh, et al.
Published: (2025)
by: Sahni, Shivansh, et al.
Published: (2025)
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
by: Rajendran, Prajit T, et al.
Published: (2026)
by: Rajendran, Prajit T, et al.
Published: (2026)
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
by: Veeriah, Vivek, et al.
Published: (2025)
by: Veeriah, Vivek, et al.
Published: (2025)
Mixture of Masters: Sparse Chess Language Models with Player Routing
by: Frisoni, Giacomo, et al.
Published: (2026)
by: Frisoni, Giacomo, et al.
Published: (2026)
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
by: Ruoss, Anian, et al.
Published: (2024)
by: Ruoss, Anian, et al.
Published: (2024)
Human-compatible driving partners through data-regularized self-play reinforcement learning
by: Cornelisse, Daphne, et al.
Published: (2024)
by: Cornelisse, Daphne, et al.
Published: (2024)
VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study
by: Zhang, Zhicheng, et al.
Published: (2026)
by: Zhang, Zhicheng, et al.
Published: (2026)
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
by: Bertram, Timo, et al.
Published: (2024)
by: Bertram, Timo, et al.
Published: (2024)
CIE: Controlling Language Model Text Generations Using Continuous Signals
by: Samuel, Vinay, et al.
Published: (2025)
by: Samuel, Vinay, et al.
Published: (2025)
Normalized Architectures are Natively 4-Bit
by: Fishman, Maxim, et al.
Published: (2026)
by: Fishman, Maxim, et al.
Published: (2026)
Generating Pragmatic Examples to Train Neural Program Synthesizers
by: Vaduguru, Saujas, et al.
Published: (2023)
by: Vaduguru, Saujas, et al.
Published: (2023)
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
by: Hamade, Karim, et al.
Published: (2024)
by: Hamade, Karim, et al.
Published: (2024)
Think Before You Lie: How Reasoning Leads to Honesty
by: Yuan, Ann, et al.
Published: (2026)
by: Yuan, Ann, et al.
Published: (2026)
How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess
by: Dionisopoulos, Lucas, et al.
Published: (2026)
by: Dionisopoulos, Lucas, et al.
Published: (2026)
Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout
by: Gundawar, Atharva, et al.
Published: (2024)
by: Gundawar, Atharva, et al.
Published: (2024)
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess
by: Hwang, Dongyoon, et al.
Published: (2025)
by: Hwang, Dongyoon, et al.
Published: (2025)
Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
by: Nielsen, Jacob, et al.
Published: (2025)
by: Nielsen, Jacob, et al.
Published: (2025)
Learning to Cooperate with Humans using Generative Agents
by: Liang, Yancheng, et al.
Published: (2024)
by: Liang, Yancheng, et al.
Published: (2024)
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
by: Lee, Deokjae, et al.
Published: (2025)
by: Lee, Deokjae, et al.
Published: (2025)
Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
by: Beaglehole, Daniel, et al.
Published: (2024)
by: Beaglehole, Daniel, et al.
Published: (2024)
Attn-QAT: 4-Bit Attention With Quantization-Aware Training
by: Zhang, Peiyuan, et al.
Published: (2026)
by: Zhang, Peiyuan, et al.
Published: (2026)
Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
by: Albanese, Federico, et al.
Published: (2026)
by: Albanese, Federico, et al.
Published: (2026)
Chasing Random: Instruction Selection Strategies Fail to Generalize
by: Diddee, Harshita, et al.
Published: (2024)
by: Diddee, Harshita, et al.
Published: (2024)
Similar Items
-
Are aligned neural networks adversarially aligned?
by: Carlini, Nicholas, et al.
Published: (2023) -
Mastering Chinese Chess AI (Xiangqi) Without Search
by: Chen, Yu, et al.
Published: (2024) -
Implicit Search via Discrete Diffusion: A Study on Chess
by: Ye, Jiacheng, et al.
Published: (2025) -
ChessQA: Evaluating Large Language Models for Chess Understanding
by: Wen, Qianfeng, et al.
Published: (2025) -
Diversifying AI: Towards Creative Chess with AlphaZero
by: Zahavy, Tom, et al.
Published: (2023)