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SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
v1v2v3v4 (latest)

SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models

Annual Meeting of the Association for Computational Linguistics (ACL), 2024
16 August 2024
Kaushal Kumar Maurya
KV Aditya Srivatsa
Ekaterina Kochmar
ArXiv (abs)PDFHTML

Papers citing "SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models"

35 / 35 papers shown
Title
LLM Routing with Dueling Feedback
LLM Routing with Dueling Feedback
Chao-Kai Chiang
Takashi Ishida
Masashi Sugiyama
72
0
0
01 Oct 2025
CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering
CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering
Jinkun Zhao
Yuanshuai Wang
X. Zhang
Ruibo Chen
Xingchuang Liao
Junle Wang
Lei Huang
Kui Zhang
Wenjun Wu
116
0
0
25 Jul 2025
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge
Daghash K. Alqahtani
M. A. Rodriguez
Muhammad Aamir Cheema
Hamid Rezatofighi
Adel N. Toosi
96
0
0
08 Jul 2025
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
Zhijun Chen
Jingzheng Li
Pengpeng Chen
Zhuoran Li
Kai Sun
...
Likang Xiao
Dingqi Yang
Yikun Ban
Hailong Sun
Philip S. Yu
ELM
452
63
0
25 Feb 2025
Brief analysis of DeepSeek R1 and its implications for Generative AI
Brief analysis of DeepSeek R1 and its implications for Generative AI
Sarah Mercer
Samuel Spillard
Daniel P. Martin
439
29
0
04 Feb 2025
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Khanh-Tung Tran
Dung Dao
Minh-Duong Nguyen
Quoc-Viet Pham
Barry O'Sullivan
Hoang D. Nguyen
LLMAG
265
211
0
10 Jan 2025
Software Performance Engineering for Foundation Model-Powered Software
  (FMware)
Software Performance Engineering for Foundation Model-Powered Software (FMware)
Haoxiang Zhang
Shi Chang
Arthur Leung
Kishanthan Thangarajah
Boyuan Chen
Hanan Lutfiyya
Ahmed E. Hassan
552
2
0
14 Nov 2024
SLM Meets LLM: Balancing Latency, Interpretability and Consistency in
  Hallucination Detection
SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection
Mengya Hu
Rui Xu
Deren Lei
Yaxi Li
Mingyu Wang
Emily Ching
Eslam Kamal
Alex Deng
134
6
0
22 Aug 2024
Confidence-aware Contrastive Learning for Selective Classification
Confidence-aware Contrastive Learning for Selective ClassificationInternational Conference on Machine Learning (ICML), 2024
Yu-Chang Wu
Shen-Huan Lyu
Haopu Shang
Xiangyu Wang
Chao Qian
118
5
0
07 Jun 2024
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
KV Aditya Srivatsa
Kaushal Kumar Maurya
Ekaterina Kochmar
190
30
0
01 May 2024
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding
Ankur Mallick
Chi Wang
Robert Sim
Subhabrata Mukherjee
Victor Rühle
L. Lakshmanan
Ahmed Hassan Awadallah
303
172
0
22 Apr 2024
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your
  Phone
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin
Sam Ade Jacobs
A. A. Awan
J. Aneja
Ahmed Hassan Awadallah
...
Li Zhang
Yi Zhang
Yue Zhang
Yunan Zhang
Xiren Zhou
LRMALM
469
1,811
0
22 Apr 2024
Is There a One-Model-Fits-All Approach to Information Extraction?
  Revisiting Task Definition Biases
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
Wenhao Huang
Qi He
Zhixu Li
Jiaqing Liang
Yanghua Xiao
146
2
0
25 Mar 2024
What Makes Math Word Problems Challenging for LLMs?
What Makes Math Word Problems Challenging for LLMs?
KV Aditya Srivatsa
Ekaterina Kochmar
198
23
0
17 Mar 2024
Predicting Question-Answering Performance of Large Language Models
  through Semantic Consistency
Predicting Question-Answering Performance of Large Language Models through Semantic ConsistencyIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Ella Rabinovich
Samuel Ackerman
Orna Raz
E. Farchi
Ateret Anaby-Tavor
493
30
0
02 Nov 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
Tree Prompting: Efficient Task Adaptation without Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
John X. Morris
Chandan Singh
Alexander M. Rush
Jianfeng Gao
Yuntian Deng
VLMLRM
194
19
0
21 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt
  Design or: How I learned to start worrying about prompt formatting
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formattingInternational Conference on Learning Representations (ICLR), 2023
Melanie Sclar
Yejin Choi
Yulia Tsvetkov
Alane Suhr
201
520
0
17 Oct 2023
Large Language Model Routing with Benchmark Datasets
Large Language Model Routing with Benchmark Datasets
Tal Shnitzer
Anthony Ou
Mírian Silva
Kate Soule
Yuekai Sun
Justin Solomon
Neil Thompson
Mikhail Yurochkin
RALM
245
105
0
27 Sep 2023
Chain of Thought Prompting Elicits Knowledge Augmentation
Chain of Thought Prompting Elicits Knowledge AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Di Wu
Jing Zhang
Xinmei Huang
LRM
171
43
0
04 Jul 2023
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and
  Generative Fusion
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Dongfu Jiang
Xiang Ren
Bill Yuchen Lin
ELM
301
467
0
05 Jun 2023
Sentiment Analysis in the Era of Large Language Models: A Reality Check
Sentiment Analysis in the Era of Large Language Models: A Reality Check
Wenxuan Zhang
Yue Deng
Bing-Quan Liu
Sinno Jialin Pan
Lidong Bing
AI4MH
185
442
0
24 May 2023
Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
ReLMReCodLRM
997
1,046
0
22 Nov 2022
Evaluating the Factual Consistency of Large Language Models Through News
  Summarization
Evaluating the Factual Consistency of Large Language Models Through News SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Derek Tam
Anisha Mascarenhas
Shiyue Zhang
Sarah Kwan
Joey Tianyi Zhou
Colin Raffel
HILM
229
125
0
15 Nov 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot ReasonersNeural Information Processing Systems (NeurIPS), 2022
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
1.3K
5,855
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language ModelsInternational Conference on Learning Representations (ICLR), 2022
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLMBDLLRMAI4CE
1.5K
5,245
0
21 Mar 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for
  Abstractive Summarization
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Mathieu Ravaut
Shafiq Joty
Nancy F. Chen
MoE
127
111
0
13 Mar 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLMOffRLLRM
940
6,512
0
27 Oct 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive
  Summarization
SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yixin Liu
Peng Liu
AILaw
163
275
0
03 Jun 2021
Are NLP Models really able to Solve Simple Math Word Problems?
Are NLP Models really able to Solve Simple Math Word Problems?North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Arkil Patel
S. Bhattamishra
Navin Goyal
ReLMLRM
286
1,034
0
12 Mar 2021
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language UnderstandingInternational Conference on Learning Representations (ICLR), 2020
Dan Hendrycks
Collin Burns
Steven Basart
Andy Zou
Mantas Mazeika
Basel Alomair
Jacob Steinhardt
ELMRALM
1.2K
6,264
0
07 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.9K
51,003
0
28 May 2020
Fast Structured Decoding for Sequence Models
Fast Structured Decoding for Sequence ModelsNeural Information Processing Systems (NeurIPS), 2019
Zhiqing Sun
Zhuohan Li
Haoqing Wang
Zi Lin
Di He
Zhihong Deng
207
128
0
25 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
2.1K
27,431
0
26 Jul 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
266
938
0
13 Nov 2018
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
1.2K
3,240
0
09 May 2017
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