LEDOM: Reverse Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Yin, Xunjian, Cheng, Sitao, Xie, Yuxi, Hu, Xinyu, Lin, Li, Wang, Xinyi, Pan, Liangming, Wang, William Yang, Wan, Xiaojun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies
by: Cheng, Sitao, et al.
Published: (2025)
by: Cheng, Sitao, et al.
Published: (2025)
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
by: Cheng, Sitao, et al.
Published: (2024)
by: Cheng, Sitao, et al.
Published: (2024)
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
by: Yin, Xunjian, et al.
Published: (2024)
by: Yin, Xunjian, et al.
Published: (2024)
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
by: Xie, Jinxiang, et al.
Published: (2024)
by: Xie, Jinxiang, et al.
Published: (2024)
Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
by: Zhou, Ruiwen, et al.
Published: (2026)
by: Zhou, Ruiwen, et al.
Published: (2026)
Differentiable Evolutionary Reinforcement Learning
by: Cheng, Sitao, et al.
Published: (2025)
by: Cheng, Sitao, et al.
Published: (2025)
Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error Correction
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
by: Zhou, Ruiwen, et al.
Published: (2024)
by: Zhou, Ruiwen, et al.
Published: (2024)
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
by: Wang, Xinyi, et al.
Published: (2024)
by: Wang, Xinyi, et al.
Published: (2024)
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
by: Li, Jiatao, et al.
Published: (2024)
by: Li, Jiatao, et al.
Published: (2024)
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
by: Hu, Xinyu, et al.
Published: (2024)
by: Hu, Xinyu, et al.
Published: (2024)
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
by: Amayuelas, Alfonso, et al.
Published: (2023)
by: Amayuelas, Alfonso, et al.
Published: (2023)
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
by: Wong, Kyle, et al.
Published: (2024)
by: Wong, Kyle, et al.
Published: (2024)
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement
by: Xie, Yuxi, et al.
Published: (2024)
by: Xie, Yuxi, et al.
Published: (2024)
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
by: Amayuelas, Alfonso, et al.
Published: (2024)
by: Amayuelas, Alfonso, et al.
Published: (2024)
AKEW: Assessing Knowledge Editing in the Wild
by: Wu, Xiaobao, et al.
Published: (2024)
by: Wu, Xiaobao, et al.
Published: (2024)
ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions
by: Zhang, Xu, et al.
Published: (2024)
by: Zhang, Xu, et al.
Published: (2024)
Error-Robust Retrieval for Chinese Spelling Check
by: Yin, Xunjian, et al.
Published: (2022)
by: Yin, Xunjian, et al.
Published: (2022)
Position: AI/ML Influencers Have a Place in the Academic Process
by: Weissburg, Iain Xie, et al.
Published: (2024)
by: Weissburg, Iain Xie, et al.
Published: (2024)
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
by: Xu, Wenda, et al.
Published: (2024)
by: Xu, Wenda, et al.
Published: (2024)
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
by: Zhang, Huixuan, et al.
Published: (2024)
by: Zhang, Huixuan, et al.
Published: (2024)
Opening the Black Box: A Survey on the Mechanisms of Multi-Step Reasoning in Large Language Models
by: Pan, Liangming, et al.
Published: (2026)
by: Pan, Liangming, et al.
Published: (2026)
Coding Agents are Effective Long-Context Processors
by: Cao, Weili, et al.
Published: (2026)
by: Cao, Weili, et al.
Published: (2026)
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
by: Yin, Xunjian, et al.
Published: (2024)
by: Yin, Xunjian, et al.
Published: (2024)
Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)
by: Gao, Yunfan, et al.
Published: (2023)
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
by: Yang, Minglai, et al.
Published: (2025)
by: Yang, Minglai, et al.
Published: (2025)
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
by: Zhang, Zhenliang, et al.
Published: (2025)
by: Zhang, Zhenliang, et al.
Published: (2025)
SciAgent: Tool-augmented Language Models for Scientific Reasoning
by: Ma, Yubo, et al.
Published: (2024)
by: Ma, Yubo, et al.
Published: (2024)
Reversible Diffusion Decoding for Diffusion Language Models
by: Wang, Xinyun, et al.
Published: (2026)
by: Wang, Xinyun, et al.
Published: (2026)
CausalEval: Towards Better Causal Reasoning in Language Models
by: Yu, Longxuan, et al.
Published: (2024)
by: Yu, Longxuan, et al.
Published: (2024)
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
by: Chen, Jianhui, et al.
Published: (2026)
by: Chen, Jianhui, et al.
Published: (2026)
Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026)
by: Gao, Yutong, et al.
Published: (2026)
InductionBench: LLMs Fail in the Simplest Complexity Class
by: Hua, Wenyue, et al.
Published: (2025)
by: Hua, Wenyue, et al.
Published: (2025)
Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview
by: Li, Jiatao, et al.
Published: (2025)
by: Li, Jiatao, et al.
Published: (2025)
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
by: Wu, Xiaobao, et al.
Published: (2024)
by: Wu, Xiaobao, et al.
Published: (2024)
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)
by: Jia, Boyu, et al.
Published: (2025)
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
by: Wang, Xinyi, et al.
Published: (2023)
by: Wang, Xinyi, et al.
Published: (2023)
MINOS: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
by: Zhang, Junzhe, et al.
Published: (2025)
by: Zhang, Junzhe, et al.
Published: (2025)
Similar Items
-
Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies
by: Cheng, Sitao, et al.
Published: (2025) -
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
by: Cheng, Sitao, et al.
Published: (2024) -
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
by: Yin, Xunjian, et al.
Published: (2024) -
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
by: Xie, Jinxiang, et al.
Published: (2024) -
Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
by: Zhou, Ruiwen, et al.
Published: (2026)