The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning
Fuente:
arXiv
Guardado en:
| Autores principales: | Han, Henry, Liu, Xiyang, Wang, Xiaodong, Han, Fei, Li, Xiaodong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
por: Sun, Jiashuo, et al.
Publicado: (2026)
por: Sun, Jiashuo, et al.
Publicado: (2026)
P$^2$ Law: Scaling Law for Post-Training After Model Pruning
por: Chen, Xiaodong, et al.
Publicado: (2024)
por: Chen, Xiaodong, et al.
Publicado: (2024)
Agentic Active Omni-Modal Perception for Multi-Hop Audio-Visual Reasoning
por: Xu, Ke, et al.
Publicado: (2026)
por: Xu, Ke, et al.
Publicado: (2026)
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques
por: Li, Chen, et al.
Publicado: (2024)
por: Li, Chen, et al.
Publicado: (2024)
When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning
por: Fang, Sitong, et al.
Publicado: (2025)
por: Fang, Sitong, et al.
Publicado: (2025)
PAR$^2$-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
por: Li, Xingyu, et al.
Publicado: (2026)
por: Li, Xingyu, et al.
Publicado: (2026)
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA
por: Zhao, Xinjie, et al.
Publicado: (2025)
por: Zhao, Xinjie, et al.
Publicado: (2025)
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning
por: Yu, Xiaodong, et al.
Publicado: (2024)
por: Yu, Xiaodong, et al.
Publicado: (2024)
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
por: Wang, Shenzhi, et al.
Publicado: (2026)
por: Wang, Shenzhi, et al.
Publicado: (2026)
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries
por: Liu, Xiaodong
Publicado: (2024)
por: Liu, Xiaodong
Publicado: (2024)
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
por: Kuai, Zhirui, et al.
Publicado: (2024)
por: Kuai, Zhirui, et al.
Publicado: (2024)
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning
por: Wu, Jingtian, et al.
Publicado: (2025)
por: Wu, Jingtian, et al.
Publicado: (2025)
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
por: Fu, Yao, et al.
Publicado: (2025)
por: Fu, Yao, et al.
Publicado: (2025)
Examining Two Hop Reasoning Through Information Content Scaling
por: Johnston, David, et al.
Publicado: (2025)
por: Johnston, David, et al.
Publicado: (2025)
Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
por: Yadav, Anushka, et al.
Publicado: (2025)
por: Yadav, Anushka, et al.
Publicado: (2025)
Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
por: Welz, Simon, et al.
Publicado: (2025)
por: Welz, Simon, et al.
Publicado: (2025)
KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
por: Wang, Shuai, et al.
Publicado: (2026)
por: Wang, Shuai, et al.
Publicado: (2026)
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
por: Wang, Changhao, et al.
Publicado: (2025)
por: Wang, Changhao, et al.
Publicado: (2025)
Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
por: Bu, Yunhan, et al.
Publicado: (2026)
por: Bu, Yunhan, et al.
Publicado: (2026)
Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
por: Liu, Xukai, et al.
Publicado: (2026)
por: Liu, Xukai, et al.
Publicado: (2026)
From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs
por: Bian, Haonan, et al.
Publicado: (2025)
por: Bian, Haonan, et al.
Publicado: (2025)
M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
por: Zhou, Yang, et al.
Publicado: (2025)
por: Zhou, Yang, et al.
Publicado: (2025)
Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs
por: Hou, Zhongni, et al.
Publicado: (2025)
por: Hou, Zhongni, et al.
Publicado: (2025)
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
por: Wang, Han, et al.
Publicado: (2024)
por: Wang, Han, et al.
Publicado: (2024)
Tequila: Trapping-free Ternary Quantization for Large Language Models
por: Huang, Hong, et al.
Publicado: (2025)
por: Huang, Hong, et al.
Publicado: (2025)
TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding
por: Zhang, Haochuan, et al.
Publicado: (2025)
por: Zhang, Haochuan, et al.
Publicado: (2025)
Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering
por: Kim, Ik-hwan, et al.
Publicado: (2026)
por: Kim, Ik-hwan, et al.
Publicado: (2026)
A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA
por: Wan, Kaiyang, et al.
Publicado: (2025)
por: Wan, Kaiyang, et al.
Publicado: (2025)
Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
por: Steele, Brady, et al.
Publicado: (2026)
por: Steele, Brady, et al.
Publicado: (2026)
RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA
por: Yang, Ruiyi, et al.
Publicado: (2025)
por: Yang, Ruiyi, et al.
Publicado: (2025)
Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning
por: Wu, Xiaojun, et al.
Publicado: (2025)
por: Wu, Xiaojun, et al.
Publicado: (2025)
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
por: Thompson, Travis, et al.
Publicado: (2025)
por: Thompson, Travis, et al.
Publicado: (2025)
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences
por: Shen, Jiaxin, et al.
Publicado: (2025)
por: Shen, Jiaxin, et al.
Publicado: (2025)
OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
por: Liu, Yu, et al.
Publicado: (2025)
por: Liu, Yu, et al.
Publicado: (2025)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
por: Zhou, Chenxi, et al.
Publicado: (2025)
por: Zhou, Chenxi, et al.
Publicado: (2025)
Breaking the Blocks: Continuous Low-Rank Decomposed Scaling for Unified LLM Quantization and Adaptation
por: Tang, Pingzhi, et al.
Publicado: (2026)
por: Tang, Pingzhi, et al.
Publicado: (2026)
LMAgent: A Large-scale Multimodal Agents Society for Multi-user Simulation
por: Liu, Yijun, et al.
Publicado: (2024)
por: Liu, Yijun, et al.
Publicado: (2024)
Scaling Laws for Precision in High-Dimensional Linear Regression
por: Zhang, Dechen, et al.
Publicado: (2026)
por: Zhang, Dechen, et al.
Publicado: (2026)
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
por: Liu, Ruikang, et al.
Publicado: (2025)
por: Liu, Ruikang, et al.
Publicado: (2025)
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
por: Yu, Xiaodong, et al.
Publicado: (2023)
por: Yu, Xiaodong, et al.
Publicado: (2023)
Ejemplares similares
-
Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
por: Sun, Jiashuo, et al.
Publicado: (2026) -
P$^2$ Law: Scaling Law for Post-Training After Model Pruning
por: Chen, Xiaodong, et al.
Publicado: (2024) -
Agentic Active Omni-Modal Perception for Multi-Hop Audio-Visual Reasoning
por: Xu, Ke, et al.
Publicado: (2026) -
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques
por: Li, Chen, et al.
Publicado: (2024) -
When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning
por: Fang, Sitong, et al.
Publicado: (2025)