Replace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence Assembly
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Lahmy, Moshe, Yozevitch, Roi |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Fixed-Budget, Cluster-Aware Standard for LLM-as-a-Judge Evaluation: A Multi-Hop RAG Stress Test
par: Sartori, Camilo Chacón, et autres
Publié: (2026)
par: Sartori, Camilo Chacón, et autres
Publié: (2026)
Don't Pay Attention
par: Hammoud, Mohammad, et autres
Publié: (2025)
par: Hammoud, Mohammad, et autres
Publié: (2025)
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
par: Zhuang, Ziyuan, et autres
Publié: (2024)
par: Zhuang, Ziyuan, et autres
Publié: (2024)
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
par: Yang, Diji, et autres
Publié: (2025)
par: Yang, Diji, et autres
Publié: (2025)
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG
par: Chen, Xinxi, et autres
Publié: (2024)
par: Chen, Xinxi, et autres
Publié: (2024)
Credible Plan-Driven RAG Method for Multi-Hop Question Answering
par: Zhang, Ningning, et autres
Publié: (2025)
par: Zhang, Ningning, et autres
Publié: (2025)
Don't Forget to Connect! Improving RAG with Graph-based Reranking
par: Dong, Jialin, et autres
Publié: (2024)
par: Dong, Jialin, et autres
Publié: (2024)
Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
par: Shapira, Eilam, et autres
Publié: (2024)
par: Shapira, Eilam, et autres
Publié: (2024)
Reasoning Models Reason Well, Until They Don't
par: Rameshkumar, Revanth, et autres
Publié: (2025)
par: Rameshkumar, Revanth, et autres
Publié: (2025)
Align, Don't Divide: Revisiting the LoRA Architecture in Multi-Task Learning
par: Liu, Jinda, et autres
Publié: (2025)
par: Liu, Jinda, et autres
Publié: (2025)
Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata
par: Poliakov, Mykhailo, et autres
Publié: (2024)
par: Poliakov, Mykhailo, et autres
Publié: (2024)
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning
par: Qin, Yuehan, et autres
Publié: (2025)
par: Qin, Yuehan, et autres
Publié: (2025)
What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA
par: Chang, Zhiyuan, et autres
Publié: (2024)
par: Chang, Zhiyuan, et autres
Publié: (2024)
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
par: Thompson, Travis, et autres
Publié: (2025)
par: Thompson, Travis, et autres
Publié: (2025)
CompactRAG: Reducing LLM Calls and Token Overhead in Multi-Hop Question Answering
par: Yang, Hao, et autres
Publié: (2026)
par: Yang, Hao, et autres
Publié: (2026)
Language Models Don't Learn the Physical Manifestation of Language
par: Lee, Bruce W., et autres
Publié: (2024)
par: Lee, Bruce W., et autres
Publié: (2024)
Can AI Assistants Know What They Don't Know?
par: Cheng, Qinyuan, et autres
Publié: (2024)
par: Cheng, Qinyuan, et autres
Publié: (2024)
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
par: Yan, Shaotian, et autres
Publié: (2025)
par: Yan, Shaotian, et autres
Publié: (2025)
Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG
par: Sun, Yiqun, et autres
Publié: (2026)
par: Sun, Yiqun, et autres
Publié: (2026)
The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents
par: Shapira, Eilam, et autres
Publié: (2026)
par: Shapira, Eilam, et autres
Publié: (2026)
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
par: Kazoom, Roie, et autres
Publié: (2025)
par: Kazoom, Roie, et autres
Publié: (2025)
AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
par: Peng, Chao, et autres
Publié: (2025)
par: Peng, Chao, et autres
Publié: (2025)
Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
par: Lacombe, Romain, et autres
Publié: (2025)
par: Lacombe, Romain, et autres
Publié: (2025)
sDPO: Don't Use Your Data All at Once
par: Kim, Dahyun, et autres
Publié: (2024)
par: Kim, Dahyun, et autres
Publié: (2024)
Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets
par: Anidjar, Or Haim, et autres
Publié: (2025)
par: Anidjar, Or Haim, et autres
Publié: (2025)
s3: You Don't Need That Much Data to Train a Search Agent via RL
par: Jiang, Pengcheng, et autres
Publié: (2025)
par: Jiang, Pengcheng, et autres
Publié: (2025)
Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
par: Kim, Woojin, et autres
Publié: (2025)
par: Kim, Woojin, et autres
Publié: (2025)
Don't Forget Your Reward Values: Language Model Alignment via Value-based Calibration
par: Mao, Xin, et autres
Publié: (2024)
par: Mao, Xin, et autres
Publié: (2024)
Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding
par: Zhang, Kexun, et autres
Publié: (2023)
par: Zhang, Kexun, et autres
Publié: (2023)
Do Retrieval Augmented Language Models Know When They Don't Know?
par: Zhou, Youchao, et autres
Publié: (2025)
par: Zhou, Youchao, et autres
Publié: (2025)
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
par: Hassid, Michael, et autres
Publié: (2025)
par: Hassid, Michael, et autres
Publié: (2025)
Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
par: Bavaresco, A., et autres
Publié: (2024)
par: Bavaresco, A., et autres
Publié: (2024)
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
par: Calderon, Nitay, et autres
Publié: (2025)
par: Calderon, Nitay, et autres
Publié: (2025)
Don't Change My View: Ideological Bias Auditing in Large Language Models
par: Kröger, Paul, et autres
Publié: (2025)
par: Kröger, Paul, et autres
Publié: (2025)
Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
par: Mei, Zhiting, et autres
Publié: (2025)
par: Mei, Zhiting, et autres
Publié: (2025)
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning
par: He, Yongquan, et autres
Publié: (2024)
par: He, Yongquan, et autres
Publié: (2024)
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
par: Shapira, Eilam, et autres
Publié: (2026)
par: Shapira, Eilam, et autres
Publié: (2026)
Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification
par: Wei, Peipei, et autres
Publié: (2025)
par: Wei, Peipei, et autres
Publié: (2025)
Reasoning Models Don't Always Say What They Think
par: Chen, Yanda, et autres
Publié: (2025)
par: Chen, Yanda, et autres
Publié: (2025)
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
par: Singhal, Ronit, et autres
Publié: (2024)
par: Singhal, Ronit, et autres
Publié: (2024)
Documents similaires
-
A Fixed-Budget, Cluster-Aware Standard for LLM-as-a-Judge Evaluation: A Multi-Hop RAG Stress Test
par: Sartori, Camilo Chacón, et autres
Publié: (2026) -
Don't Pay Attention
par: Hammoud, Mohammad, et autres
Publié: (2025) -
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
par: Zhuang, Ziyuan, et autres
Publié: (2024) -
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
par: Yang, Diji, et autres
Publié: (2025) -
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG
par: Chen, Xinxi, et autres
Publié: (2024)