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2405.01470
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WildChat: 1M ChatGPT Interaction Logs in the Wild
International Conference on Learning Representations (ICLR), 2024
2 May 2024
Wenting Zhao
Xiang Ren
Jack Hessel
Claire Cardie
Yejin Choi
Yuntian Deng
Re-assign community
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HuggingFace (63 upvotes)
Papers citing
"WildChat: 1M ChatGPT Interaction Logs in the Wild"
50 / 232 papers shown
Title
Smaller Language Models Are Better Instruction Evolvers
Tingfeng Hui
Lulu Zhao
Guanting Dong
Yaqi Zhang
Hua Zhou
Sen Su
ALM
306
6
0
15 Dec 2024
If Eleanor Rigby Had Met ChatGPT: A Study on Loneliness in a Post-LLM World
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Adrian de Wynter
212
1
0
02 Dec 2024
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Computer Vision and Pattern Recognition (CVPR), 2024
Lei Li
Y. X. Wei
Zhihui Xie
Xuqing Yang
Yifan Song
...
Tianyu Liu
Sujian Li
Bill Yuchen Lin
Dianbo Sui
Qiang Liu
VLM
CoGe
457
60
0
26 Nov 2024
BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching
Yilong Zhao
Shuo Yang
Kan Zhu
Lianmin Zheng
Baris Kasikci
Yang Zhou
Jiarong Xing
Eric Liang
337
15
0
25 Nov 2024
Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference Environments
Nikoleta Iliakopoulou
Jovan Stojkovic
Chloe Alverti
Tianyin Xu
Hubertus Franke
Josep Torrellas
215
6
0
24 Nov 2024
Steering Language Model Refusal with Sparse Autoencoders
Kyle O'Brien
David Majercak
Xavier Fernandes
Richard Edgar
Blake Bullwinkel
Jingya Chen
Harsha Nori
Dean Carignan
Eric Horvitz
Forough Poursabzi-Sangde
LLMSV
339
38
0
18 Nov 2024
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
International Conference on Learning Representations (ICLR), 2024
Michael Aerni
Javier Rando
Edoardo Debenedetti
Nicholas Carlini
Daphne Ippolito
F. Tramèr
199
11
0
15 Nov 2024
Stronger Models are NOT Stronger Teachers for Instruction Tuning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Bill Yuchen Lin
Radha Poovendran
ALM
342
13
0
11 Nov 2024
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Siming Huang
Tianhao Cheng
J.K. Liu
Jiaran Hao
L. Song
...
Ge Zhang
Zili Wang
Yuan Qi
Yinghui Xu
Wei Chu
ALM
387
74
0
07 Nov 2024
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
Xupeng Miao
Zhihao Jia
Daniel F Campos
Aurick Qiao
LRM
277
4
0
07 Nov 2024
Rule Based Rewards for Language Model Safety
Neural Information Processing Systems (NeurIPS), 2024
Tong Mu
Alec Helyar
Johannes Heidecke
Joshua Achiam
Andrea Vallone
Ian Kivlichan
Molly Lin
Alex Beutel
John Schulman
Lilian Weng
ALM
290
89
0
02 Nov 2024
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Farima Fatahi Bayat
Lechen Zhang
Sheza Munir
Lu Wang
HILM
224
16
0
29 Oct 2024
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
Zhengfu He
Wentao Shu
Xuyang Ge
Lingjie Chen
Junxuan Wang
...
Qipeng Guo
Xuanjing Huang
Zuxuan Wu
Yu-Gang Jiang
Xipeng Qiu
267
70
0
27 Oct 2024
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Yuyang Ding
Xinyu Shi
Xiaobo Liang
Juntao Li
Zhaopeng Tu
Qiaoming Zhu
Min Zhang
LRM
ELM
AIMat
SyDa
159
10
0
24 Oct 2024
MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models
Seunghyeok Hong
Dongkeun Yoon
Juyoung Suk
Javier Aula-Blasco
Mano Aslan
Vu Trong Kim
Shayekh Bin Islam
Jaume Prats-Cristià
Lucía Tormo-Bañuelos
Seungone Kim
ELM
LRM
212
0
0
23 Oct 2024
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Li Siyan
Vethavikashini Chithrra Raghuram
Omar Khattab
Julia Hirschberg
Zhou Yu
396
28
0
22 Oct 2024
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
Jing-Jing Li
Valentina Pyatkin
Max Kleiman-Weiner
Liwei Jiang
Nouha Dziri
Anne Collins
Jana Schaich Borg
Maarten Sap
Yejin Choi
Sydney Levine
318
0
0
22 Oct 2024
Imprompter: Tricking LLM Agents into Improper Tool Use
Xiaohan Fu
Shuheng Li
Zihan Wang
Yong Liu
Rajesh K. Gupta
Taylor Berg-Kirkpatrick
Earlence Fernandes
SILM
LLMAG
241
41
0
19 Oct 2024
Diverging Preferences: When do Annotators Disagree and do Models Know?
Michael J.Q. Zhang
Zhilin Wang
Jena D. Hwang
Yi Dong
Olivier Delalleau
Yejin Choi
Eunsol Choi
Xiang Ren
Valentina Pyatkin
234
26
0
18 Oct 2024
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
International Conference on Learning Representations (ICLR), 2024
Michael J.Q. Zhang
W. Bradley Knox
Eunsol Choi
358
31
0
17 Oct 2024
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
AAAI Conference on Artificial Intelligence (AAAI), 2024
Sean McGregor
Allyson Ettinger
Nick Judd
Paul Albee
Liwei Jiang
...
Avijit Ghosh
Christopher Fiorelli
Michelle Hoang
Sven Cattell
Nouha Dziri
132
5
0
15 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Guangyi Liu
Fengting Yuchi
W. Zhao
Jingjing Qu
Yanjie Wang
Siheng Chen
ALM
FedML
277
3
0
15 Oct 2024
Thinking LLMs: General Instruction Following with Thought Generation
Tianhao Wu
Janice Lan
Weizhe Yuan
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
LRM
231
40
0
14 Oct 2024
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Fangru Lin
Shaoguang Mao
Emanuele La Malfa
Valentin Hofmann
Adrian de Wynter
Jing Yao
Si-Qing Chen
Michael Wooldridge
J. Pierrehumbert
Furu Wei
411
3
0
14 Oct 2024
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
International Conference on Learning Representations (ICLR), 2024
Enyu Zhou
Guodong Zheng
Binghai Wang
Zhiheng Xi
Jiajun Sun
...
Yurong Mou
Rui Zheng
Tao Gui
Tao Gui
Xuanjing Huang
ALM
372
42
0
13 Oct 2024
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
Tingyu Xia
Bowen Yu
K. Dang
An Yang
Yuan Wu
Yuan Tian
Yi-Ju Chang
Junyang Lin
ALM
167
13
0
12 Oct 2024
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Shuhe Wang
Guoyin Wang
Yucheng Wang
Jiwei Li
Eduard H. Hovy
Chen Guo
287
11
0
10 Oct 2024
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
International Conference on Learning Representations (ICLR), 2024
Tong Wu
Shujian Zhang
Kaiqiang Song
Silei Xu
Sanqiang Zhao
Ravi Agrawal
Sathish Indurthi
Chong Xiang
Prateek Mittal
Wenxuan Zhou
342
29
0
09 Oct 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Wenhao Wang
Xiaoyu Liang
Rui Ye
Jingyi Chai
Siheng Chen
Yanfeng Wang
SyDa
271
9
0
08 Oct 2024
Stereotype or Personalization? User Identity Biases Chatbot Recommendations
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Anjali Kantharuban
Jeremiah Milbauer
Emma Strubell
Emma Strubell
Graham Neubig
267
25
0
08 Oct 2024
The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI
Merlin Stein
Jamie Bernardi
Connor Dunlop
177
8
0
07 Oct 2024
Need Help? Designing Proactive AI Assistants for Programming
International Conference on Human Factors in Computing Systems (CHI), 2024
Valerie Chen
Alan Zhu
Sebastian Zhao
Hussein Mozannar
David Sontag
Ameet Talwalkar
163
31
0
06 Oct 2024
CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text
Jun Hirako
Ryohei Sasano
Koichi Takeda
282
4
0
06 Oct 2024
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits
Duy Nguyen
Archiki Prasad
Elias Stengel-Eskin
Joey Tianyi Zhou
336
5
0
02 Oct 2024
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
International Conference on Human Factors in Computing Systems (CHI), 2024
Catherine Yeh
Donghao Ren
Yannick Assogba
Dominik Moritz
Fred Hohman
239
3
0
01 Oct 2024
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Haoran Que
Feiyu Duan
Liqun He
Yutao Mou
Wangchunshu Zhou
...
Ge Zhang
Junran Peng
Zhaoxiang Zhang
Songyang Zhang
Kai Chen
LM&MA
ELM
VLM
207
33
0
24 Sep 2024
Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots
Brian Tang
Kaiwen Sun
Noah T. Curran
F. Schaub
Kang G. Shin
SILM
212
3
0
23 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Neural Information Processing Systems (NeurIPS), 2024
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
235
10
0
13 Sep 2024
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
Jonathan Ivey
Shivani Kumar
Jiayu Liu
Hua Shen
Sushrita Rakshit
...
Dustin Wright
Abraham Israeli
Anders Giovanni Møller
Lechen Zhang
David Jurgens
213
10
0
12 Sep 2024
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yuntian Deng
Wenting Zhao
Jack Hessel
Xiang Ren
Claire Cardie
Yejin Choi
VLM
228
13
0
05 Sep 2024
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
Bang An
Sicheng Zhu
Ruiyi Zhang
Michael-Andrei Panaitescu-Liess
Yuancheng Xu
Furong Huang
AAML
310
28
0
01 Sep 2024
Acceptable Use Policies for Foundation Models
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Kevin Klyman
235
23
0
29 Aug 2024
ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency Model
Lifan Jiang
Zhihui Wang
Siqi Yin
Guangxiao Ma
Peng Zhang
Boxi Wu
DiffM
275
17
0
28 Aug 2024
Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
John Mendonça
Isabel Trancoso
A. Lavie
ALM
206
13
0
20 Aug 2024
The Future of Open Human Feedback
Nature Machine Intelligence (Nat. Mach. Intell.), 2024
Shachar Don-Yehiya
Ben Burtenshaw
Ramon Fernandez Astudillo
Cailean Osborne
Mimansa Jaiswal
...
Omri Abend
Jennifer Ding
Sara Hooker
Hannah Rose Kirk
Leshem Choshen
VLM
ALM
224
9
0
15 Aug 2024
The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community
Shachar Don-Yehiya
Leshem Choshen
Omri Abend
235
4
0
15 Aug 2024
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
International Conference on Learning Representations (ICLR), 2024
Yushi Bai
Jiajie Zhang
Xin Lv
Linzhi Zheng
Siqi Zhu
Lei Hou
Yuxiao Dong
Jie Tang
Juanzi Li
VGen
LLMAG
ALM
173
91
0
13 Aug 2024
Self-Taught Evaluators
Tianlu Wang
Ilia Kulikov
O. Yu. Golovneva
Ping Yu
Weizhe Yuan
Jane Dwivedi-Yu
Richard Yuanzhe Pang
Maryam Fazel-Zarandi
Jason Weston
Xian Li
ALM
LRM
182
46
0
05 Aug 2024
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
International Symposium on High-Performance Computer Architecture (HPCA), 2024
Jovan Stojkovic
Chaojie Zhang
Íñigo Goiri
Josep Torrellas
Esha Choukse
201
76
0
01 Aug 2024
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Wenting Zhao
Tanya Goyal
Yu Ying Chiu
Liwei Jiang
Benjamin Newman
...
Khyathi Chandu
Ronan Le Bras
Claire Cardie
Yuntian Deng
Yejin Choi
HILM
155
19
0
24 Jul 2024
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