{"id":26057618,"url":"https://github.com/zcccccz/awesome-llm-implicit-reasoning","last_synced_at":"2025-03-08T11:50:09.028Z","repository":{"id":281138513,"uuid":"944045400","full_name":"zcccccz/Awesome-LLM-Implicit-Reasoning","owner":"zcccccz","description":"Papers of Implicit Reasoning in LLMs.","archived":false,"fork":false,"pushed_at":"2025-03-07T06:56:27.000Z","size":3,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-07T07:32:07.995Z","etag":null,"topics":["awesome","chain-of-thought","deepseek-r1","hidden","implicit","latent-space","llm-inference","openai-o1","reasoning"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zcccccz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-06T17:35:40.000Z","updated_at":"2025-03-07T06:56:30.000Z","dependencies_parsed_at":"2025-03-07T07:42:13.868Z","dependency_job_id":null,"html_url":"https://github.com/zcccccz/Awesome-LLM-Implicit-Reasoning","commit_stats":null,"previous_names":["zcccccz/awesome-llm-implicit-reasoning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zcccccz%2FAwesome-LLM-Implicit-Reasoning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zcccccz%2FAwesome-LLM-Implicit-Reasoning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zcccccz%2FAwesome-LLM-Implicit-Reasoning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zcccccz%2FAwesome-LLM-Implicit-Reasoning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zcccccz","download_url":"https://codeload.github.com/zcccccz/Awesome-LLM-Implicit-Reasoning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242546022,"owners_count":20147096,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["awesome","chain-of-thought","deepseek-r1","hidden","implicit","latent-space","llm-inference","openai-o1","reasoning"],"created_at":"2025-03-08T11:50:08.442Z","updated_at":"2025-03-08T11:50:09.023Z","avatar_url":"https://github.com/zcccccz.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n    \u003cimg src=\"assets/implicit_cot.png\" width=\"90%\" style=\"align:center;\"/\u003e\n\u003c/p\u003e\n\n\u003ch1 align=\"center\"\u003eAwesome LLM Implicit Reasoning\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cb\u003e A collection of papers that unlock the implicit reasoning ability of LLMs.\u003c/b\u003e\n\u003c/p\u003e\n\n\n\n### 2025\n\n1. **[Efficient Reasoning with Hidden Thinking](https://arxiv.org/abs/2501.19201)**\n\n    *Xuan Shen, Yizhou Wang, Xiangxi Shi, Yanzhi Wang, Pu Zhao, Jiuxiang Gu.* Preprint'25\n\n2. **[Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach](https://arxiv.org/abs/2502.05171)**\n\n    *Jonas Geiping, Sean McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein.* Preprint'25\n\n3. **[CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation](https://arxiv.org/abs/2502.21074)**\n\n    *Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He.* Preprint'25\n\n4. **[SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs](https://arxiv.org/abs/2502.12134)**\n\n    *Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao.* Preprint'25\n\n5. **[Scalable Language Models with Posterior Inference of Latent Thought Vectors](https://arxiv.org/abs/2502.01567)**\n\n    *Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu.* Preprint'25\n\n6. **[Reasoning with Latent Thoughts: On the Power of Looped Transformers](https://arxiv.org/abs/2502.17416)**\n\n    *Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi.* ICLR'25\n\n7. **[TokenSkip: Controllable Chain-of-Thought Compression in LLMs](https://arxiv.org/abs/2502.12067)**\n\n    *Heming Xia, Yongqi Li, Chak Tou Leong, Wenjie Wang, Wenjie Li.* Preprint'25\n\n8. **[LightThinker: Thinking Step-by-Step Compression](https://arxiv.org/abs/2502.15589)**\n\n    *Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang.* Preprint'25\n\n9. **[Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMs](https://arxiv.org/abs/2502.21030v1)**\n\n    *José I. Orlicki.* Preprint'25\n\n\n### 2024\n\n1. **[From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step](https://arxiv.org/abs/2405.14838)**\n\n    *Yuntian Deng, Yejin Choi, Stuart Shieber.* Preprint'24\n\n2. **[Training Large Language Models to Reason in a Continuous Latent Space](https://arxiv.org/abs/2412.06769)**\n\n    *Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian.* Preprint'24\n\n3. **[Compressed Chain of Thought: Efficient Reasoning Through Dense Representations](https://arxiv.org/abs/2412.13171)**\n\n    *Jeffrey Cheng, Benjamin Van Durme.* Preprint'24\n\n\n### 2023\n\n1. **[Implicit Chain of Thought Reasoning via Knowledge Distillation](https://arxiv.org/abs/2311.01460)**\n\n    *Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart Shieber.* Preprint'23","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzcccccz%2Fawesome-llm-implicit-reasoning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzcccccz%2Fawesome-llm-implicit-reasoning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzcccccz%2Fawesome-llm-implicit-reasoning/lists"}