Don't Command, Cultivate: An Exploratory Study of System-2 Alignment
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Yuhang, Zhang, Yuxiang, Zhu, Yanxu, Wen, Xinyan, Sang, Jitao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Self-Guided Defense: Adaptive Safety Alignment for Reasoning Models via Synthesized Guidelines
por: Wang, Yuhang, et al.
Publicado: (2025)
por: Wang, Yuhang, et al.
Publicado: (2025)
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
por: Zhu, Yanxu, et al.
Publicado: (2024)
por: Zhu, Yanxu, et al.
Publicado: (2024)
Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
por: Wang, Yuhang, et al.
Publicado: (2025)
por: Wang, Yuhang, et al.
Publicado: (2025)
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
por: Wang, Yuhang, et al.
Publicado: (2023)
por: Wang, Yuhang, et al.
Publicado: (2023)
Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning
por: Sang, Jitao, et al.
Publicado: (2024)
por: Sang, Jitao, et al.
Publicado: (2024)
Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models
por: Huang, Zemin, et al.
Publicado: (2025)
por: Huang, Zemin, et al.
Publicado: (2025)
Frictional Agent Alignment Framework: Slow Down and Don't Break Things
por: Nath, Abhijnan, et al.
Publicado: (2025)
por: Nath, Abhijnan, et al.
Publicado: (2025)
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning
por: Qin, Yuehan, et al.
Publicado: (2025)
por: Qin, Yuehan, et al.
Publicado: (2025)
Don't Throw Away Your Pretrained Model
por: Feng, Shangbin, et al.
Publicado: (2025)
por: Feng, Shangbin, et al.
Publicado: (2025)
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models
por: Faria, Gonçalo, et al.
Publicado: (2025)
por: Faria, Gonçalo, et al.
Publicado: (2025)
Don't Touch My Diacritics
por: Gorman, Kyle, et al.
Publicado: (2024)
por: Gorman, Kyle, et al.
Publicado: (2024)
Don't Pay Attention
por: Hammoud, Mohammad, et al.
Publicado: (2025)
por: Hammoud, Mohammad, et al.
Publicado: (2025)
Think, But Don't Overthink: Reproducing Recursive Language Models
por: Wang, Daren
Publicado: (2026)
por: Wang, Daren
Publicado: (2026)
Don't Say No: Jailbreaking LLM by Suppressing Refusal
por: Zhou, Yukai, et al.
Publicado: (2024)
por: Zhou, Yukai, et al.
Publicado: (2024)
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
por: Mao, Xin, et al.
Publicado: (2024)
por: Mao, Xin, et al.
Publicado: (2024)
If You Don't Understand It, Don't Use It: Eliminating Trojans with Filters Between Layers
por: Hernandez, Adriano
Publicado: (2024)
por: Hernandez, Adriano
Publicado: (2024)
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
por: Hans, Abhimanyu, et al.
Publicado: (2024)
por: Hans, Abhimanyu, et al.
Publicado: (2024)
Don't Throw Away Data: Better Sequence Knowledge Distillation
por: Wang, Jun, et al.
Publicado: (2024)
por: Wang, Jun, et al.
Publicado: (2024)
R-Tuning: Instructing Large Language Models to Say `I Don't Know'
por: Zhang, Hanning, et al.
Publicado: (2023)
por: Zhang, Hanning, et al.
Publicado: (2023)
Hatevolution: What Static Benchmarks Don't Tell Us
por: Di Bonaventura, Chiara, et al.
Publicado: (2025)
por: Di Bonaventura, Chiara, et al.
Publicado: (2025)
Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs
por: Jaipersaud, Brandon, et al.
Publicado: (2024)
por: Jaipersaud, Brandon, et al.
Publicado: (2024)
Can AI Assistants Know What They Don't Know?
por: Cheng, Qinyuan, et al.
Publicado: (2024)
por: Cheng, Qinyuan, et al.
Publicado: (2024)
Reasoning Models Reason Well, Until They Don't
por: Rameshkumar, Revanth, et al.
Publicado: (2025)
por: Rameshkumar, Revanth, et al.
Publicado: (2025)
Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing
por: Zhao, Raoyuan, et al.
Publicado: (2025)
por: Zhao, Raoyuan, et al.
Publicado: (2025)
Do Retrieval Augmented Language Models Know When They Don't Know?
por: Zhou, Youchao, et al.
Publicado: (2025)
por: Zhou, Youchao, et al.
Publicado: (2025)
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
por: Tu, Yahan, et al.
Publicado: (2024)
por: Tu, Yahan, et al.
Publicado: (2024)
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
por: Chen, Yanjun, et al.
Publicado: (2024)
por: Chen, Yanjun, et al.
Publicado: (2024)
Language Models Don't Learn the Physical Manifestation of Language
por: Lee, Bruce W., et al.
Publicado: (2024)
por: Lee, Bruce W., et al.
Publicado: (2024)
Don't Walk the Line: Boundary Guidance for Filtered Generation
por: Ball, Sarah, et al.
Publicado: (2025)
por: Ball, Sarah, et al.
Publicado: (2025)
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!
por: Bafna, Niyati, et al.
Publicado: (2024)
por: Bafna, Niyati, et al.
Publicado: (2024)
Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
por: Parmar, Jupinder, et al.
Publicado: (2024)
por: Parmar, Jupinder, et al.
Publicado: (2024)
Don't Lose Focus: Activation Steering via Key-Orthogonal Projections
por: Luo, Haoyan, et al.
Publicado: (2026)
por: Luo, Haoyan, et al.
Publicado: (2026)
The Compliance Gap: Why AI Systems Promise to Follow Process Instructions but Don't
por: Shin, Kwan Soo
Publicado: (2026)
por: Shin, Kwan Soo
Publicado: (2026)
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
por: Feng, Shangbin, et al.
Publicado: (2024)
por: Feng, Shangbin, et al.
Publicado: (2024)
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
por: Wang, Chenlong, et al.
Publicado: (2025)
por: Wang, Chenlong, et al.
Publicado: (2025)
Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction
por: Zhang, Yuzhe, et al.
Publicado: (2026)
por: Zhang, Yuzhe, et al.
Publicado: (2026)
Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty
por: Ren, Jingyi, et al.
Publicado: (2026)
por: Ren, Jingyi, et al.
Publicado: (2026)
Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding
por: Zhang, Kexun, et al.
Publicado: (2023)
por: Zhang, Kexun, et al.
Publicado: (2023)
Don't Think of the White Bear: Ironic Negation in Transformer Models Under Cognitive Load
por: Mann, Logan, et al.
Publicado: (2025)
por: Mann, Logan, et al.
Publicado: (2025)
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning
por: He, Yongquan, et al.
Publicado: (2024)
por: He, Yongquan, et al.
Publicado: (2024)
Ejemplares similares
-
Self-Guided Defense: Adaptive Safety Alignment for Reasoning Models via Synthesized Guidelines
por: Wang, Yuhang, et al.
Publicado: (2025) -
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
por: Zhu, Yanxu, et al.
Publicado: (2024) -
Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
por: Wang, Yuhang, et al.
Publicado: (2025) -
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
por: Wang, Yuhang, et al.
Publicado: (2023) -
Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning
por: Sang, Jitao, et al.
Publicado: (2024)