Image de couverture de livre

Genetic Approach to Mitigate Hallucination in Generative IR

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kulkarni, Hrishikesh, Goharian, Nazli, Frieder, Ophir, MacAvaney, Sean
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors
par: Kulkarni, Hrishikesh, et autres
Publié: (2024)

GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries
par: Kulkarni, Hrishikesh, et autres
Publié: (2025)

A Reproducibility Study of PLAID
par: MacAvaney, Sean, et autres
Publié: (2024)

Efficient Constant-Space Multi-Vector Retrieval
par: MacAvaney, Sean, et autres
Publié: (2025)

A Picture of Agentic Search
par: Pezzuti, Francesca, et autres
Publié: (2026)

Shallow Cross-Encoders for Low-Latency Retrieval
par: Petrov, Aleksandr V., et autres
Publié: (2024)

Artifact Sharing for Information Retrieval Research
par: MacAvaney, Sean
Publié: (2025)

Lost in Transliteration: Bridging the Script Gap in Neural IR
par: Chari, Andreas, et autres
Publié: (2025)

On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures
par: MacAvaney, Sean, et autres
Publié: (2025)

Overview of the TREC 2025 RAGTIME Track
par: Lawrie, Dawn, et autres
Publié: (2026)

Reproducing Adaptive Reranking for Reasoning-Intensive IR
par: Rathee, Mandeep, et autres
Publié: (2026)

DRAMA: Domain Retrieval using Adaptive Module Allocation
par: Kasela, Pranav, et autres
Publié: (2026)

MechIR: A Mechanistic Interpretability Framework for Information Retrieval
par: Parry, Andrew, et autres
Publié: (2025)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
par: Weller, Orion, et autres
Publié: (2024)

Exploiting Positional Bias for Query-Agnostic Generative Content in Search
par: Parry, Andrew, et autres
Publié: (2024)

To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval
par: Lionis, Emmanouil Georgios, et autres
Publié: (2026)

MURR: Model Updating with Regularized Replay for Searching a Document Stream
par: Yang, Eugene, et autres
Publié: (2025)

mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval
par: Weller, Orion, et autres
Publié: (2025)

Top-Down Partitioning for Efficient List-Wise Ranking
par: Parry, Andrew, et autres
Publié: (2024)

Evaluating the Explainability of Neural Rankers
par: Pandian, Saran, et autres
Publié: (2024)

Quam: Adaptive Retrieval through Query Affinity Modelling
par: Rathee, Mandeep, et autres
Publié: (2024)

SuiteEval: Simplifying Retrieval Benchmarks
par: Parry, Andrew, et autres
Publié: (2026)

Neural Prioritisation for Web Crawling
par: Pezzuti, Francesca, et autres
Publié: (2025)

Disentangling Locality and Entropy in Ranking Distillation
par: Parry, Andrew, et autres
Publié: (2025)

Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
par: Chari, Andreas, et autres
Publié: (2025)

A Deep Learning Approach for Selective Relevance Feedback
par: Datta, Suchana, et autres
Publié: (2024)

An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc
par: Porco, Aldo, et autres
Publié: (2025)

Revisiting Text Ranking in Deep Research
par: Meng, Chuan, et autres
Publié: (2026)

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
par: Parry, Andrew, et autres
Publié: (2024)

Training on the Test Model: Contamination in Ranking Distillation
par: Kalal, Vishakha Suresh, et autres
Publié: (2024)

Pipeline Inspection, Visualization, and Interoperability in PyTerrier
par: Lionis, Emmanouil Georgios, et autres
Publié: (2026)

Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
par: Pezzuti, Francesca, et autres
Publié: (2025)

Guiding Retrieval using LLM-based Listwise Rankers
par: Rathee, Mandeep, et autres
Publié: (2025)

On the Evaluation of Machine-Generated Reports
par: Mayfield, James, et autres
Publié: (2024)

Neural Passage Quality Estimation for Static Pruning
par: Chang, Xuejun, et autres
Publié: (2024)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
par: Rathee, Mandeep, et autres
Publié: (2025)

AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis
par: Davoudi, Saeedeh, et autres
Publié: (2026)

Document Quality Scoring for Web Crawling
par: Pezzuti, Francesca, et autres
Publié: (2025)

Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models
par: Parry, Andrew, et autres
Publié: (2024)

Test-time Corpus Feedback: From Retrieval to RAG
par: Rathee, Mandeep, et autres
Publié: (2025)