ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.15717
  4. Cited By
The False Promise of Imitating Proprietary LLMs

The False Promise of Imitating Proprietary LLMs

25 May 2023
Arnav Gudibande
Eric Wallace
Charles Burton Snell
Xinyang Geng
Hao Liu
Pieter Abbeel
Sergey Levine
Dawn Song
    ALM
ArXivPDFHTML

Papers citing "The False Promise of Imitating Proprietary LLMs"

50 / 178 papers shown
Title
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models
WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models
Abdullah Mushtaq
Imran Taj
Rafay Naeem
Ibrahim Ghaznavi
Junaid Qadir
23
0
0
14 May 2025
LLAMAPIE: Proactive In-Ear Conversation Assistants
LLAMAPIE: Proactive In-Ear Conversation Assistants
Tuochao Chen
Nicholas Batchelder
Alisa Liu
Noah A. Smith
Shyamnath Gollakota
125
0
0
07 May 2025
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
Haidar Khan
H. A. Alyahya
Yazeed Alnumay
M Saiful Bari
B. Yener
ELM
LRM
57
0
0
17 Apr 2025
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Shenyang Liu
Yang Gao
Shaoyan Zhai
Liqiang Wang
32
0
0
06 Apr 2025
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
Sheng Wang
Pengan Chen
Jingqi Zhou
Qintong Li
Jingwei Dong
Jiahui Gao
Boyang Xue
Jiyue Jiang
Lingpeng Kong
Chuan Wu
SyDa
66
0
0
21 Mar 2025
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi
Muhammad Adil Asif
Ziwen Han
John Willes
Rahul G. Krishnan
LRM
36
0
0
12 Mar 2025
Targeted Distillation for Sentiment Analysis
Yice Zhang
Guangyu Xie
Jingjie Lin
Jianzhu Bao
Qianlong Wang
Xi Zeng
Ruifeng Xu
58
0
0
05 Mar 2025
ABC: Achieving Better Control of Multimodal Embeddings using VLMs
Benjamin Schneider
Florian Kerschbaum
Wenhu Chen
129
0
0
01 Mar 2025
Self-Memory Alignment: Mitigating Factual Hallucinations with Generalized Improvement
Self-Memory Alignment: Mitigating Factual Hallucinations with Generalized Improvement
Siyuan Zhang
Y. Zhang
Yinpeng Dong
Hang Su
HILM
KELM
183
0
0
26 Feb 2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
Mingyan Wu
Zhenghao Liu
Yukun Yan
Xinze Li
S. Yu
Zheni Zeng
Yu Gu
Ge Yu
RALM
AI4TS
LRM
52
1
0
25 Feb 2025
Reproducibility Study of Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Reproducibility Study of Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Jose L. Garcia
Karolina Hajkova
Maria Marchenko
Carlos Miguel Patiño
AAML
33
0
0
22 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
93
153
0
28 Jan 2025
Chain-of-Thought in Large Language Models: Decoding, Projection, and
  Activation
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation
H. Yang
Qianghua Zhao
Lei Li
AI4CE
LRM
69
1
0
05 Dec 2024
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen
Vivek Hebbar
Caleb Larson
Aryan Bhatt
Ansh Radhakrishnan
...
Shi Feng
He He
Ethan Perez
Buck Shlegeris
Akbir Khan
AAML
81
8
0
26 Nov 2024
Predicting Emergent Capabilities by Finetuning
Predicting Emergent Capabilities by Finetuning
Charlie Snell
Eric Wallace
Dan Klein
Sergey Levine
ELM
LRM
77
5
0
25 Nov 2024
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment
PMoL: Parameter Efficient MoE for Preference Mixing of LLM Alignment
Dongxu Liu
Bing Xu
Yinzhuo Chen
Bufan Xu
Wenpeng Lu
Muyun Yang
T. Zhao
MoE
39
1
0
02 Nov 2024
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification
Tom A. Lamb
Adam Davies
Alasdair Paren
Philip H. S. Torr
Francesco Pinto
47
0
0
30 Oct 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
48
2
0
23 Oct 2024
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
Xiaosen Zheng
Tianyu Pang
Chao Du
Qian Liu
Jing Jiang
Min-Bin Lin
39
8
0
09 Oct 2024
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered
  Knowledge in Large Language Models
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models
Bozhou Li
Hao Liang
Yang Li
Fangcheng Fu
Hongzhi Yin
Conghui He
Wentao Zhang
KELM
CLL
48
0
0
08 Oct 2024
FedPT: Federated Proxy-Tuning of Large Language Models on
  Resource-Constrained Edge Devices
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
Zhidong Gao
Yu Zhang
Zhenxiao Zhang
Yanmin Gong
Yuanxiong Guo
18
0
0
01 Oct 2024
A Survey on the Honesty of Large Language Models
A Survey on the Honesty of Large Language Models
Siheng Li
Cheng Yang
Taiqiang Wu
Chufan Shi
Yuji Zhang
...
Jie Zhou
Yujiu Yang
Ngai Wong
Xixin Wu
Wai Lam
HILM
32
4
0
27 Sep 2024
Language Models Learn to Mislead Humans via RLHF
Language Models Learn to Mislead Humans via RLHF
Jiaxin Wen
Ruiqi Zhong
Akbir Khan
Ethan Perez
Jacob Steinhardt
Minlie Huang
Samuel R. Bowman
He He
Shi Feng
29
34
0
19 Sep 2024
Enhancing Logical Reasoning in Large Language Models through Graph-based
  Synthetic Data
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
Jiaming Zhou
Abbas Ghaddar
Ge Zhang
Liheng Ma
Yaochen Hu
Soumyasundar Pal
Mark J. Coates
Bin Wang
Yingxue Zhang
Jianye Hao
ReLM
LRM
37
4
0
19 Sep 2024
Diversify and Conquer: Diversity-Centric Data Selection with Iterative
  Refinement
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
Simon Yu
Liangyu Chen
Sara Ahmadian
Marzieh Fadaee
29
6
0
17 Sep 2024
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using
  LLMs
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Madhusudan Ghosh
Shrimon Mukherjee
Asmit Ganguly
Partha Basuchowdhuri
S. Naskar
Debasis Ganguly
34
7
0
15 Sep 2024
Towards a Unified View of Preference Learning for Large Language Models:
  A Survey
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Bofei Gao
Feifan Song
Yibo Miao
Zefan Cai
Z. Yang
...
Houfeng Wang
Zhifang Sui
Peiyi Wang
Baobao Chang
Baobao Chang
43
11
0
04 Sep 2024
Better Alignment with Instruction Back-and-Forth Translation
Better Alignment with Instruction Back-and-Forth Translation
Thao Nguyen
Jeffrey Li
Sewoong Oh
Ludwig Schmidt
Jason Weston
Luke Zettlemoyer
Xian Li
SyDa
30
6
0
08 Aug 2024
A Comparison of LLM Finetuning Methods & Evaluation Metrics with Travel
  Chatbot Use Case
A Comparison of LLM Finetuning Methods & Evaluation Metrics with Travel Chatbot Use Case
Sonia Meyer
Shreya Singh
Bertha Tam
Christopher Ton
Angel Ren
34
3
0
07 Aug 2024
Inference Optimizations for Large Language Models: Effects, Challenges,
  and Practical Considerations
Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations
Leo Donisch
Sigurd Schacht
Carsten Lanquillon
22
2
0
06 Aug 2024
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali
Jia He
C. Barberan
Richard Anarfi
33
7
0
30 Jul 2024
Neurosymbolic AI for Enhancing Instructability in Generative AI
Neurosymbolic AI for Enhancing Instructability in Generative AI
Amit P. Sheth
Vishal Pallagani
Kaushik Roy
LLMAG
21
2
0
26 Jul 2024
Weak-to-Strong Reasoning
Weak-to-Strong Reasoning
Yuqing Yang
Yan Ma
Pengfei Liu
LRM
35
13
0
18 Jul 2024
AgentInstruct: Toward Generative Teaching with Agentic Flows
AgentInstruct: Toward Generative Teaching with Agentic Flows
Arindam Mitra
Luciano Del Corro
Guoqing Zheng
Shweti Mahajan
Dany Rouhana
...
Corby Rosset
Fillipe Silva
Hamed Khanpour
Yash Lara
Ahmed Awadallah
SyDa
40
24
0
03 Jul 2024
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning
Hasna Chouikhi
Manel Aloui
Cyrine Ben Hammou
Ghaith Chaabane
Haithem Kchaou
Chehir Dhaouadi
36
0
0
02 Jul 2024
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and
  Complex Reasoning Abilities
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Sreyan Ghosh
Sonal Kumar
Ashish Seth
Chandra Kiran Reddy Evuru
Utkarsh Tyagi
S. Sakshi
Oriol Nieto
R. Duraiswami
Dinesh Manocha
AuLLM
LRM
46
36
0
17 Jun 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context
  Alignment
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
Heyan Huang
Yinghao Li
Huashan Sun
Yu Bai
Yang Gao
40
3
0
17 Jun 2024
Survey for Landing Generative AI in Social and E-commerce Recsys -- the
  Industry Perspectives
Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
Da Xu
Danqing Zhang
Guangyu Yang
Bo Yang
Shuyuan Xu
Lingling Zheng
Cindy Liang
32
2
0
10 Jun 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim
Juyoung Suk
Ji Yong Cho
Shayne Longpre
Chaeeun Kim
...
Sean Welleck
Graham Neubig
Moontae Lee
Kyungjae Lee
Minjoon Seo
ELM
ALM
LM&MA
97
30
0
09 Jun 2024
CHIQ: Contextual History Enhancement for Improving Query Rewriting in
  Conversational Search
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
Fengran Mo
Abbas Ghaddar
Kelong Mao
Mehdi Rezagholizadeh
Boxing Chen
Qun Liu
Jian-Yun Nie
42
7
0
07 Jun 2024
DORY: Deliberative Prompt Recovery for LLM
DORY: Deliberative Prompt Recovery for LLM
Lirong Gao
Ru Peng
Yiming Zhang
Junbo Zhao
32
3
0
31 May 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
67
12
0
30 May 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded
  Dialogue Systems
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems
Abbas Ghaddar
David Alfonso-Hermelo
Philippe Langlais
Mehdi Rezagholizadeh
Boxing Chen
Prasanna Parthasarathi
34
0
0
24 May 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
Shaina Raza
Ananya Raval
Veronica Chatrath
48
6
0
18 May 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
62
19
0
14 May 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Zorik Gekhman
G. Yona
Roee Aharoni
Matan Eyal
Amir Feder
Roi Reichart
Jonathan Herzig
50
102
0
09 May 2024
Self-Improving Customer Review Response Generation Based on LLMs
Self-Improving Customer Review Response Generation Based on LLMs
Guy Azov
Tatiana Pelc
Adi Fledel Alon
Gila Kamhi
32
0
0
06 May 2024
Large Language Models Reveal Information Operation Goals, Tactics, and
  Narrative Frames
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames
Keith Burghardt
Kai Chen
Kristina Lerman
40
0
0
06 May 2024
Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of
  Language Models with Fine-grained Rewards
Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards
Hyeonbin Hwang
Doyoung Kim
Seungone Kim
Seonghyeon Ye
Minjoon Seo
LRM
ReLM
32
15
0
16 Apr 2024
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from
  Human Feedback for LLMs
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Shreyas Chaudhari
Pranjal Aggarwal
Vishvak Murahari
Tanmay Rajpurohit
A. Kalyan
Karthik Narasimhan
A. Deshpande
Bruno Castro da Silva
26
34
0
12 Apr 2024
1234
Next