Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims
Fuente:
arXiv
Saved in:
| Main Authors: | Kargupta, Priyanka, Tian, Runchu, Han, Jiawei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
by: Tian, Runchu, et al.
Published: (2025)
by: Tian, Runchu, et al.
Published: (2025)
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
by: Kargupta, Priyanka, et al.
Published: (2025)
by: Kargupta, Priyanka, et al.
Published: (2025)
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
by: Jin, Bowen, et al.
Published: (2025)
by: Jin, Bowen, et al.
Published: (2025)
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
by: Mandikal, Priyanka
Published: (2024)
by: Mandikal, Priyanka
Published: (2024)
DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
by: Schofield, Jeanette, et al.
Published: (2025)
by: Schofield, Jeanette, et al.
Published: (2025)
Navigating Nuance: In Quest for Political Truth
by: Sar, Soumyadeep, et al.
Published: (2025)
by: Sar, Soumyadeep, et al.
Published: (2025)
TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation
by: Tao, Wenbiao, et al.
Published: (2025)
by: Tao, Wenbiao, et al.
Published: (2025)
Grounding Agent Memory in Contextual Intent
by: Yang, Ruozhen, et al.
Published: (2026)
by: Yang, Ruozhen, et al.
Published: (2026)
Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)
by: Liu, Peiyang, et al.
Published: (2026)
Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)
by: Zhong, Xianrui, et al.
Published: (2025)
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)
by: Feng, Tao, et al.
Published: (2026)
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
by: Peng, Qiwei, et al.
Published: (2025)
by: Peng, Qiwei, et al.
Published: (2025)
Hierarchical Semantic Retrieval with Cobweb
by: Gupta, Anant, et al.
Published: (2025)
by: Gupta, Anant, et al.
Published: (2025)
Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)
by: Salemi, Alireza, et al.
Published: (2024)
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)
by: Wang, Nengbo, et al.
Published: (2025)
Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)
by: Zhou, Jiawei, et al.
Published: (2025)
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
by: Shi, Teng, et al.
Published: (2025)
by: Shi, Teng, et al.
Published: (2025)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
by: Zou, Jiaru, et al.
Published: (2025)
by: Zou, Jiaru, et al.
Published: (2025)
Hierarchical Re-ranker Retriever (HRR)
by: Singh, Ashish, et al.
Published: (2025)
by: Singh, Ashish, et al.
Published: (2025)
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
by: Pramov, Aleksandar, et al.
Published: (2025)
by: Pramov, Aleksandar, et al.
Published: (2025)
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)
by: Ren, Ruiyang, et al.
Published: (2023)
GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)
by: Liu, Haoyu, et al.
Published: (2025)
Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)
by: Su, Weihang, et al.
Published: (2025)
OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)
by: Zhou, Jiawei, et al.
Published: (2025)
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)
by: Hashemi, Helia, et al.
Published: (2025)
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)
by: Zhang, Xiaoming, et al.
Published: (2024)
Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation
by: Agrawal, Aditya, et al.
Published: (2026)
by: Agrawal, Aditya, et al.
Published: (2026)
Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation
by: Li, Zizhong, et al.
Published: (2024)
by: Li, Zizhong, et al.
Published: (2024)
Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)
by: Thakur, Ayush, et al.
Published: (2024)
RRAML: Reinforced Retrieval Augmented Machine Learning
by: Bacciu, Andrea, et al.
Published: (2023)
by: Bacciu, Andrea, et al.
Published: (2023)
Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
by: Chen, Huiyao, et al.
Published: (2025)
by: Chen, Huiyao, et al.
Published: (2025)
Context-Efficient Retrieval with Factual Decomposition
by: Li, Yanhong, et al.
Published: (2025)
by: Li, Yanhong, et al.
Published: (2025)
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
by: Tu, Yiteng, et al.
Published: (2025)
by: Tu, Yiteng, et al.
Published: (2025)
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
by: Nguyen, Long, et al.
Published: (2025)
by: Nguyen, Long, et al.
Published: (2025)
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
Similar Items
-
CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
by: Tian, Runchu, et al.
Published: (2025) -
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
by: Kargupta, Priyanka, et al.
Published: (2025) -
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
by: Jin, Bowen, et al.
Published: (2025) -
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
by: Mandikal, Priyanka
Published: (2024) -
DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
by: Schofield, Jeanette, et al.
Published: (2025)