Guardado en:
| Autores principales: | Wang, Fuxin, Alazali, Amr, Zhong, Yiqiao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.01017 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
por: Zhao, Xingyu, et al.
Publicado: (2026)
por: Zhao, Xingyu, et al.
Publicado: (2026)
The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
por: Anderson, Samuel Cyrenius
Publicado: (2026)
por: Anderson, Samuel Cyrenius
Publicado: (2026)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
por: Fadli, Samih
Publicado: (2025)
por: Fadli, Samih
Publicado: (2025)
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
por: Eisenstadt, Roy, et al.
Publicado: (2025)
por: Eisenstadt, Roy, et al.
Publicado: (2025)
CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
por: Panuganti, Rajkiran
Publicado: (2026)
por: Panuganti, Rajkiran
Publicado: (2026)
On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
por: Deshmukh, Pratik, et al.
Publicado: (2026)
por: Deshmukh, Pratik, et al.
Publicado: (2026)
Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
por: Heyman, Alex, et al.
Publicado: (2025)
por: Heyman, Alex, et al.
Publicado: (2025)
SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
por: Fang, Qitong, et al.
Publicado: (2026)
por: Fang, Qitong, et al.
Publicado: (2026)
Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
por: Steele, Brady, et al.
Publicado: (2026)
por: Steele, Brady, et al.
Publicado: (2026)
Social Cooperation in Conversational AI Agents
por: Çelikok, Mustafa Mert, et al.
Publicado: (2025)
por: Çelikok, Mustafa Mert, et al.
Publicado: (2025)
FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
por: Yuan, Xin, et al.
Publicado: (2025)
por: Yuan, Xin, et al.
Publicado: (2025)
Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
por: Ratner, Edward, et al.
Publicado: (2024)
por: Ratner, Edward, et al.
Publicado: (2024)
PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
por: Ding, Ruiyi, et al.
Publicado: (2026)
por: Ding, Ruiyi, et al.
Publicado: (2026)
Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
por: Rath, Plawan Kumar, et al.
Publicado: (2026)
por: Rath, Plawan Kumar, et al.
Publicado: (2026)
OFMU: Optimization-Driven Framework for Machine Unlearning
por: Asif, Sadia, et al.
Publicado: (2025)
por: Asif, Sadia, et al.
Publicado: (2025)
BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking
por: Ustaomeroglu, Muhammed, et al.
Publicado: (2026)
por: Ustaomeroglu, Muhammed, et al.
Publicado: (2026)
Persona Features Control Emergent Misalignment
por: Wang, Miles, et al.
Publicado: (2025)
por: Wang, Miles, et al.
Publicado: (2025)
Autonomous Deep Agent
por: Yu, Amy, et al.
Publicado: (2025)
por: Yu, Amy, et al.
Publicado: (2025)
The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
por: Adapala, Sai Teja Reddy
Publicado: (2025)
por: Adapala, Sai Teja Reddy
Publicado: (2025)
FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
por: Zhang, Yizhou, et al.
Publicado: (2025)
por: Zhang, Yizhou, et al.
Publicado: (2025)
Task-Conditioned Routing Signatures in Sparse Mixture-of-Experts Transformers
por: Avinash, Mynampati Sri Ranganadha
Publicado: (2026)
por: Avinash, Mynampati Sri Ranganadha
Publicado: (2026)
Node-Level Uncertainty Estimation in LLM-Generated SQL
por: Hasson, Hilaf, et al.
Publicado: (2025)
por: Hasson, Hilaf, et al.
Publicado: (2025)
ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing
por: Kadu, Ankush, et al.
Publicado: (2025)
por: Kadu, Ankush, et al.
Publicado: (2025)
Benefits and Limitations of Communication in Multi-Agent Reasoning
por: Rizvi-Martel, Michael, et al.
Publicado: (2025)
por: Rizvi-Martel, Michael, et al.
Publicado: (2025)
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
por: Lan, Guangchen, et al.
Publicado: (2025)
por: Lan, Guangchen, et al.
Publicado: (2025)
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
por: Abramov, Roman, et al.
Publicado: (2025)
por: Abramov, Roman, et al.
Publicado: (2025)
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
por: Dragoi, Marius, et al.
Publicado: (2025)
por: Dragoi, Marius, et al.
Publicado: (2025)
Counterfactual Likelihood Tests for Indirect Influence in Private Reasoning Channels
por: Lorup, Alexander Boesgaard
Publicado: (2026)
por: Lorup, Alexander Boesgaard
Publicado: (2026)
Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
por: Adapala, Sai Teja Reddy
Publicado: (2025)
por: Adapala, Sai Teja Reddy
Publicado: (2025)
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
por: Xu, Shuyao, et al.
Publicado: (2025)
por: Xu, Shuyao, et al.
Publicado: (2025)
The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory
por: Zhou, Wenxuan, et al.
Publicado: (2025)
por: Zhou, Wenxuan, et al.
Publicado: (2025)
The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behavior
por: Larsen, Erik
Publicado: (2025)
por: Larsen, Erik
Publicado: (2025)
Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
por: Cho, Hanjun, et al.
Publicado: (2026)
por: Cho, Hanjun, et al.
Publicado: (2026)
Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
por: Cui, Sasha, et al.
Publicado: (2025)
por: Cui, Sasha, et al.
Publicado: (2025)
Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies
por: Liu, Ming
Publicado: (2026)
por: Liu, Ming
Publicado: (2026)
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
por: Shafique, Muhammad Ali, et al.
Publicado: (2025)
por: Shafique, Muhammad Ali, et al.
Publicado: (2025)
On the Limits of Learned Importance Scoring for KV Cache Compression
por: Steele, Brady
Publicado: (2026)
por: Steele, Brady
Publicado: (2026)
Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Field
por: Kerner, Tobias
Publicado: (2024)
por: Kerner, Tobias
Publicado: (2024)
The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies
por: Garcia, Gabriel
Publicado: (2026)
por: Garcia, Gabriel
Publicado: (2026)
Ejemplares similares
-
Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
por: Zhao, Xingyu, et al.
Publicado: (2026) -
The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
por: Anderson, Samuel Cyrenius
Publicado: (2026) -
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
por: Fadli, Samih
Publicado: (2025) -
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
por: Eisenstadt, Roy, et al.
Publicado: (2025) -
CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
por: Panuganti, Rajkiran
Publicado: (2026)