Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
Fuente:
arXiv
Saved in:
| Main Authors: | Hamman, Faisal, Zhu, Chenyang, Kumar, Anoop, Peng, Xujun, Dutta, Sanghamitra, Liu, Daben, Samuel, Alfy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
by: Hamman, Faisal, et al.
Published: (2024)
by: Hamman, Faisal, et al.
Published: (2024)
A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
by: Lawton, Neal Gregory, et al.
Published: (2025)
by: Lawton, Neal Gregory, et al.
Published: (2025)
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
by: Hamman, Faisal, et al.
Published: (2023)
by: Hamman, Faisal, et al.
Published: (2023)
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025)
by: Hamman, Faisal, et al.
Published: (2025)
FB-RAG: Improving RAG with Forward and Backward Lookup
by: Chawla, Kushal, et al.
Published: (2025)
by: Chawla, Kushal, et al.
Published: (2025)
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
by: Huang, Zhiqi, et al.
Published: (2025)
by: Huang, Zhiqi, et al.
Published: (2025)
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
by: Peng, Xujun, et al.
Published: (2025)
by: Peng, Xujun, et al.
Published: (2025)
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
by: Hamman, Faisal, et al.
Published: (2024)
by: Hamman, Faisal, et al.
Published: (2024)
LLM Optimization Unlocks Real-Time Pairwise Reranking
by: Wu, Jingyu, et al.
Published: (2025)
by: Wu, Jingyu, et al.
Published: (2025)
Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
by: Belem, Catarina G, et al.
Published: (2025)
by: Belem, Catarina G, et al.
Published: (2025)
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
by: Noorani, Erfaun, et al.
Published: (2025)
by: Noorani, Erfaun, et al.
Published: (2025)
Play by the Type Rules: Inferring Constraints for LLM Functions in Declarative Programs
by: Glenn, Parker, et al.
Published: (2025)
by: Glenn, Parker, et al.
Published: (2025)
Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
by: Jain, Neel, et al.
Published: (2024)
by: Jain, Neel, et al.
Published: (2024)
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
by: Hamman, Faisal, et al.
Published: (2023)
by: Hamman, Faisal, et al.
Published: (2023)
Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment
by: Hu, Mengxuan, et al.
Published: (2026)
by: Hu, Mengxuan, et al.
Published: (2026)
Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition
by: Halder, Barproda, et al.
Published: (2024)
by: Halder, Barproda, et al.
Published: (2024)
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
by: Bakman, Yavuz, et al.
Published: (2025)
by: Bakman, Yavuz, et al.
Published: (2025)
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
by: Feroz, Faisal, et al.
Published: (2026)
by: Feroz, Faisal, et al.
Published: (2026)
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
by: Hou, Abe Bohan, et al.
Published: (2024)
by: Hou, Abe Bohan, et al.
Published: (2024)
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation
by: Jacobs, Sven, et al.
Published: (2024)
by: Jacobs, Sven, et al.
Published: (2024)
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
by: Kumar, Nischal Ashok, et al.
Published: (2024)
by: Kumar, Nischal Ashok, et al.
Published: (2024)
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation
by: Han, Zifei FeiFei, et al.
Published: (2024)
by: Han, Zifei FeiFei, et al.
Published: (2024)
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
by: Egea, David, et al.
Published: (2025)
by: Egea, David, et al.
Published: (2025)
BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM Agents
by: Myakala, Praveen Kumar, et al.
Published: (2026)
by: Myakala, Praveen Kumar, et al.
Published: (2026)
DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
by: Khan, Saadat Hasan, et al.
Published: (2026)
by: Khan, Saadat Hasan, et al.
Published: (2026)
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
by: Yu, Xiao, et al.
Published: (2024)
by: Yu, Xiao, et al.
Published: (2024)
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
by: Yaldiz, Duygu Nur, et al.
Published: (2025)
by: Yaldiz, Duygu Nur, et al.
Published: (2025)
Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models
by: Dutta, Arka, et al.
Published: (2023)
by: Dutta, Arka, et al.
Published: (2023)
From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
by: Mishra, Shubham, et al.
Published: (2025)
by: Mishra, Shubham, et al.
Published: (2025)
Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
by: Dutta, Aditi, et al.
Published: (2025)
by: Dutta, Aditi, et al.
Published: (2025)
Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality
by: Ai, Yiming, et al.
Published: (2024)
by: Ai, Yiming, et al.
Published: (2024)
A Multilingual Similarity Dataset for News Article Frame
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy
by: Mandikal, Priyanka
Published: (2024)
by: Mandikal, Priyanka
Published: (2024)
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
by: Dissanayake, Pasan, et al.
Published: (2024)
by: Dissanayake, Pasan, et al.
Published: (2024)
Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approach
by: Dutta, Aditi, et al.
Published: (2024)
by: Dutta, Aditi, et al.
Published: (2024)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
by: Fu, Yanjun, et al.
Published: (2025)
by: Fu, Yanjun, et al.
Published: (2025)
LAPIS: Language Model-Augmented Police Investigation System
by: Kim, Heedou, et al.
Published: (2024)
by: Kim, Heedou, et al.
Published: (2024)
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
by: Dissanayake, Pasan, et al.
Published: (2025)
by: Dissanayake, Pasan, et al.
Published: (2025)
Gender Representation and Bias in Indian Civil Service Mock Interviews
by: Banerjee, Somonnoy, et al.
Published: (2024)
by: Banerjee, Somonnoy, et al.
Published: (2024)
Similar Items
-
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
by: Hamman, Faisal, et al.
Published: (2024) -
A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
by: Lawton, Neal Gregory, et al.
Published: (2025) -
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
by: Hamman, Faisal, et al.
Published: (2023) -
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025) -
FB-RAG: Improving RAG with Forward and Backward Lookup
by: Chawla, Kushal, et al.
Published: (2025)