Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Pengyu, Zhang, Yonggang, Chen, Mingming, Song, Jun, Xue, Wei, Guo, Yike |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
by: Li, Zhaoyi, et al.
Published: (2026)
by: Li, Zhaoyi, et al.
Published: (2026)
Prescriptive Scaling Laws for Data Constrained Training
by: Lovelace, Justin, et al.
Published: (2026)
by: Lovelace, Justin, et al.
Published: (2026)
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
by: Jiayang, Cheng, et al.
Published: (2026)
by: Jiayang, Cheng, et al.
Published: (2026)
Efficient RLVR Training via Weighted Mutual Information Data Selection
by: Zhou, Xinyu, et al.
Published: (2026)
by: Zhou, Xinyu, et al.
Published: (2026)
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
by: Sung, Junyoung, et al.
Published: (2026)
by: Sung, Junyoung, et al.
Published: (2026)
SciNets: Graph-Constrained Multi-Hop Reasoning for Scientific Literature Synthesis
by: Dubey, Sauhard
Published: (2025)
by: Dubey, Sauhard
Published: (2025)
$\textbf{AGT$^{AO}$}$: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality
by: Li, Pengyu, et al.
Published: (2026)
by: Li, Pengyu, et al.
Published: (2026)
Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
by: Fan, Ziqing, et al.
Published: (2025)
by: Fan, Ziqing, et al.
Published: (2025)
CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering
by: Liu, Yu, et al.
Published: (2026)
by: Liu, Yu, et al.
Published: (2026)
Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
by: Yang, Zhuoyi, et al.
Published: (2026)
by: Yang, Zhuoyi, et al.
Published: (2026)
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
by: Kang, Feiyang, et al.
Published: (2024)
by: Kang, Feiyang, et al.
Published: (2024)
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
by: Chen, Xinyue, et al.
Published: (2024)
by: Chen, Xinyue, et al.
Published: (2024)
Efficient Data Selection at Scale via Influence Distillation
by: Nikdan, Mahdi, et al.
Published: (2025)
by: Nikdan, Mahdi, et al.
Published: (2025)
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing
by: Wu, Chen, et al.
Published: (2025)
by: Wu, Chen, et al.
Published: (2025)
QuRating: Selecting High-Quality Data for Training Language Models
by: Wettig, Alexander, et al.
Published: (2024)
by: Wettig, Alexander, et al.
Published: (2024)
Scaling Law for Quantization-Aware Training
by: Chen, Mengzhao, et al.
Published: (2025)
by: Chen, Mengzhao, et al.
Published: (2025)
Encoder-Free Knowledge-Graph Reasoning with LLMs via Hyperdimensional Path Retrieval
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge
by: Chan, Chi-Min, et al.
Published: (2025)
by: Chan, Chi-Min, et al.
Published: (2025)
Compute-Constrained Data Selection
by: Yin, Junjie Oscar, et al.
Published: (2024)
by: Yin, Junjie Oscar, et al.
Published: (2024)
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
by: Yu, Xingtong, et al.
Published: (2023)
by: Yu, Xingtong, et al.
Published: (2023)
P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)
by: Lyu, Xingda, et al.
Published: (2026)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
by: Huang, Xinyue, et al.
Published: (2025)
by: Huang, Xinyue, et al.
Published: (2025)
Let the Target Select for Itself: Data Selection via Target-Aligned Paths
by: Yang, Huitao, et al.
Published: (2026)
by: Yang, Huitao, et al.
Published: (2026)
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)
by: Song, Jingze, et al.
Published: (2026)
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
by: Li, Yifei, et al.
Published: (2025)
by: Li, Yifei, et al.
Published: (2025)
Scaling Data-Constrained Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)
by: Muennighoff, Niklas, et al.
Published: (2023)
Auto-Patching: Enhancing Multi-Hop Reasoning in Language Models
by: Jan, Aviv, et al.
Published: (2025)
by: Jan, Aviv, et al.
Published: (2025)
PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
by: Chang, Qikai, et al.
Published: (2026)
by: Chang, Qikai, et al.
Published: (2026)
CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
by: Liu, Yuanxiang, et al.
Published: (2026)
by: Liu, Yuanxiang, et al.
Published: (2026)
Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
by: Wang, Zhenting, et al.
Published: (2026)
by: Wang, Zhenting, et al.
Published: (2026)
MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding
by: Guo, Hanghui, et al.
Published: (2025)
by: Guo, Hanghui, et al.
Published: (2025)
DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
by: Chan, Chi-Min, et al.
Published: (2026)
by: Chan, Chi-Min, et al.
Published: (2026)
Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
by: Shi, Yuling, et al.
Published: (2026)
by: Shi, Yuling, et al.
Published: (2026)
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
by: Dong, Peijie, et al.
Published: (2024)
by: Dong, Peijie, et al.
Published: (2024)
Constrained Decoding for Cross-lingual Label Projection
by: Le, Duong Minh, et al.
Published: (2024)
by: Le, Duong Minh, et al.
Published: (2024)
Graceful Forgetting in Generative Language Models
by: Jiang, Chunyang, et al.
Published: (2025)
by: Jiang, Chunyang, et al.
Published: (2025)
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data
by: Wu, Xue, et al.
Published: (2024)
by: Wu, Xue, et al.
Published: (2024)
Controllable Generation via Locally Constrained Resampling
by: Ahmed, Kareem, et al.
Published: (2024)
by: Ahmed, Kareem, et al.
Published: (2024)
Data Shapley in One Training Run
by: Wang, Jiachen T., et al.
Published: (2024)
by: Wang, Jiachen T., et al.
Published: (2024)
Similar Items
-
Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
by: Li, Zhaoyi, et al.
Published: (2026) -
Prescriptive Scaling Laws for Data Constrained Training
by: Lovelace, Justin, et al.
Published: (2026) -
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
by: Jiayang, Cheng, et al.
Published: (2026) -
Efficient RLVR Training via Weighted Mutual Information Data Selection
by: Zhou, Xinyu, et al.
Published: (2026) -
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
by: Sung, Junyoung, et al.
Published: (2026)