ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yuanfeng, Dai, Zehui, Liang, Jian, Guan, Jiapeng, Wang, Guangrun, Lin, Liang, Lv, Xiaohui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)
by: Guo, Wenbin, et al.
Published: (2025)
Bridging the Discrete-Continuous Gap: Unified Multimodal Generation via Coupled Manifold Discrete Absorbing Diffusion
by: Xu, Yuanfeng, et al.
Published: (2026)
by: Xu, Yuanfeng, et al.
Published: (2026)
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance
by: Xie, Tong, et al.
Published: (2025)
by: Xie, Tong, et al.
Published: (2025)
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process
by: Liang, Jianxin, et al.
Published: (2025)
by: Liang, Jianxin, et al.
Published: (2025)
MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
by: Cai, Yuanqing, et al.
Published: (2026)
by: Cai, Yuanqing, et al.
Published: (2026)
Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026)
by: Guan, Weixin, et al.
Published: (2026)
Stable Language Guidance for Vision-Language-Action Models
by: Zhan, Zhihao, et al.
Published: (2026)
by: Zhan, Zhihao, et al.
Published: (2026)
ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
by: Tang, Jiakai, et al.
Published: (2025)
by: Tang, Jiakai, et al.
Published: (2025)
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)
by: Lee, Zhicheng, et al.
Published: (2025)
ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
by: Kim, Joongwon, et al.
Published: (2025)
by: Kim, Joongwon, et al.
Published: (2025)
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)
by: Lee, Jooyoung, et al.
Published: (2024)
ReaGeo: Reasoning-Enhanced End-to-End Geocoding with LLMs
by: Cui, Jian, et al.
Published: (2026)
by: Cui, Jian, et al.
Published: (2026)
SlimLM: An Efficient Small Language Model for On-Device Document Assistance
by: Pham, Thang M., et al.
Published: (2024)
by: Pham, Thang M., et al.
Published: (2024)
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
by: Zhang, Zhihan, et al.
Published: (2024)
by: Zhang, Zhihan, et al.
Published: (2024)
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
by: Ying, Huaiyuan, et al.
Published: (2024)
by: Ying, Huaiyuan, et al.
Published: (2024)
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network
by: Guo, Minghao, et al.
Published: (2025)
by: Guo, Minghao, et al.
Published: (2025)
ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)
by: Zhu, Xunyu, et al.
Published: (2024)
In-Situ Tweedie Discrete Diffusion Models
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
by: Ling, Guoming, et al.
Published: (2026)
by: Ling, Guoming, et al.
Published: (2026)
UserLM-R1: Modeling Human Reasoning in User Language Models with Multi-Reward Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2026)
by: Zhang, Feng, et al.
Published: (2026)
BitLM: Unlocking Multi-Token Language Generation with Bitwise Continuous Diffusion
by: Zhuang, Shaobin, et al.
Published: (2026)
by: Zhuang, Shaobin, et al.
Published: (2026)
Large Language Models are Contrastive Reasoners
by: Yao, Liang
Published: (2024)
by: Yao, Liang
Published: (2024)
Stacking Small Language Models for Generalizability
by: Liang, Laurence
Published: (2024)
by: Liang, Laurence
Published: (2024)
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
by: Yi, Rongjie, et al.
Published: (2024)
by: Yi, Rongjie, et al.
Published: (2024)
DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
by: Zhao, Kun, et al.
Published: (2025)
by: Zhao, Kun, et al.
Published: (2025)
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models
by: Liang, Yihao, et al.
Published: (2026)
by: Liang, Yihao, et al.
Published: (2026)
AdaPonderLM: Gated Pondering Language Models with Token-Wise Adaptive Depth
by: Song, Shixiang, et al.
Published: (2026)
by: Song, Shixiang, et al.
Published: (2026)
Can Small Language Models be Good Reasoners for Sequential Recommendation?
by: Wang, Yuling, et al.
Published: (2024)
by: Wang, Yuling, et al.
Published: (2024)
Self-Enhanced Reasoning Training: Activating Latent Reasoning in Small Models for Enhanced Reasoning Distillation
by: Zhang, Yong, et al.
Published: (2025)
by: Zhang, Yong, et al.
Published: (2025)
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
by: Pang, Xinyu, et al.
Published: (2024)
by: Pang, Xinyu, et al.
Published: (2024)
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
by: Hsu, I-Hung, et al.
Published: (2024)
by: Hsu, I-Hung, et al.
Published: (2024)
JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation
by: Bi, Zhenyu, et al.
Published: (2025)
by: Bi, Zhenyu, et al.
Published: (2025)
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
by: Zheng, Kangjie, et al.
Published: (2025)
by: Zheng, Kangjie, et al.
Published: (2025)
Underutilization of Syntactic Processing by Chinese Learners of English in Comprehending English Sentences, Evidenced from Adapted Garden-Path Ambiguity Experiment
by: Xu, Jiapeng
Published: (2024)
by: Xu, Jiapeng
Published: (2024)
Replicating ReLM Results: Validating Large Language Models with ReLM
by: Adamson, Reece, et al.
Published: (2025)
by: Adamson, Reece, et al.
Published: (2025)
CodecLM: Aligning Language Models with Tailored Synthetic Data
by: Wang, Zifeng, et al.
Published: (2024)
by: Wang, Zifeng, et al.
Published: (2024)
Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
by: Zeng, Yu, et al.
Published: (2025)
by: Zeng, Yu, et al.
Published: (2025)
IoT-LM: Large Multisensory Language Models for the Internet of Things
by: Mo, Shentong, et al.
Published: (2024)
by: Mo, Shentong, et al.
Published: (2024)
Similar Items
-
ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025) -
Bridging the Discrete-Continuous Gap: Unified Multimodal Generation via Coupled Manifold Discrete Absorbing Diffusion
by: Xu, Yuanfeng, et al.
Published: (2026) -
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance
by: Xie, Tong, et al.
Published: (2025) -
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process
by: Liang, Jianxin, et al.
Published: (2025) -
MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
by: Cai, Yuanqing, et al.
Published: (2026)