Small Language Models Improve Giants by Rewriting Their Outputs

22 May 2023

Papers citing "Small Language Models Improve Giants by Rewriting Their Outputs"

22 / 22 papers shown

Title
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration Ran Xu W. Shi Yuchen Zhuang Yue Yu Joyce C. Ho Haoyu Wang Carl Yang 24 1 0 07 Apr 2025
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming Rui Li Peiyi Wang Jingyuan Ma Di Zhang Lei Sha Zhifang Sui LLMAG 44 0 0 22 Feb 2025
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen Gaël Varoquaux ALM 58 23 0 10 Sep 2024
Importance Weighting Can Help Large Language Models Self-Improve Chunyang Jiang Chi-min Chan Wei Xue Qifeng Liu Yike Guo 22 3 0 19 Aug 2024
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) K. Kenthapadi M. Sameki Ankur Taly HILM ELM AILaw 34 12 0 10 Jul 2024
CERET: Cost-Effective Extrinsic Refinement for Text Generation Jason (Jinglun) Cai Hang Su Monica Sunkara Igor Shalyminov Saab Mansour 21 1 0 08 Jun 2024
MELTing point: Mobile Evaluation of Language Transformers Stefanos Laskaridis Kleomenis Katevas Lorenzo Minto Hamed Haddadi 27 20 0 19 Mar 2024
Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering Jakub Res I. Homoliak Martin Peresíni A. Smrčka K. Malinka P. Hanáček 24 3 0 19 Mar 2024
Aligner: Efficient Alignment by Learning to Correct Jiaming Ji Boyuan Chen Hantao Lou Donghai Hong Borong Zhang Xuehai Pan Juntao Dai Tianyi Qiu Yaodong Yang 29 6 0 04 Feb 2024
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access Saibo Geng Berkay Döner Chris Wendler Martin Josifoski Robert West 33 3 0 18 Jan 2024
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation Giorgos Vernikos Andrei Popescu-Belis 30 14 0 12 Jan 2024
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language Di Jin Shikib Mehri Devamanyu Hazarika Aishwarya Padmakumar Sungjin Lee Yang Liu Mahdi Namazifar ALM 16 16 0 24 Nov 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 233 2,413 0 06 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 221 318 0 21 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models Mirac Suzgun Luke Melas-Kyriazi Dan Jurafsky VLM 77 64 0 23 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020