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. 2505.17391
  4. Cited By
Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation

23 May 2025
Yuelyu Ji
Rui Meng
Zhuochun Li
Daqing He
ArXivPDFHTML

Papers citing "Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation"

11 / 11 papers shown
Title
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
Yihong Jin
Ze Yang
36
3
0
16 Apr 2025
Data Augmentation Through Random Style Replacement
Data Augmentation Through Random Style Replacement
Qikai Yang
Cheng Ji
Huaiying Luo
Panfeng Li
Zhicheng Ding
55
5
0
14 Apr 2025
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
Magdalena Kaiser
Gerhard Weikum
73
1
0
28 Mar 2025
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
Jerry Huang
Siddarth Madala
Risham Sidhu
Cheng Niu
Hao Peng
Julia Hockenmaier
Tong Zhang
LRM
RALM
127
4
0
17 Mar 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
Rongzhi Zhu
Xiangyu Liu
Zequn Sun
Yiwei Wang
Wei Hu
RALM
KELM
LRM
150
2
0
20 Feb 2025
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
Yiteng Tu
Weihang Su
Yujia Zhou
Yang Liu
Qingyao Ai
RALM
270
4
0
30 Jan 2025
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
Zhongxiang Sun
Qipeng Wang
Weijie Yu
Xiaoxue Zang
Kai Zheng
Jun Xu
Xiao Zhang
Song Yang
Han Li
LRM
55
8
0
14 Jan 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
104
39
0
11 Jul 2024
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
111
595
0
07 Oct 2022
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
500
41,106
0
28 May 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression
  of Pre-Trained Transformers
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
VLM
91
1,230
0
25 Feb 2020
1