Cover Image

BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agrawal, Sheshansh, Nguyen, Thien Hang, Kiela, Douwe
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
by: Ferguson, Nick, et al.
Published: (2026)

KTO: Model Alignment as Prospect Theoretic Optimization
by: Ethayarajh, Kawin, et al.
Published: (2024)

ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
by: Zhang, Qiang, et al.
Published: (2026)

Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets
by: Tran, Dat, et al.
Published: (2026)

AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
by: Yan, Qi, et al.
Published: (2023)

Reflective Context Learning: Studying the Optimization Primitives of Context Space
by: Vassilyev, Nikita, et al.
Published: (2026)

Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
by: Nguyen, Thien Hang, et al.
Published: (2024)

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
by: Li, Yuhan, et al.
Published: (2024)

Rank-Learner: Orthogonal Ranking of Treatment Effects
by: Arno, Henri, et al.
Published: (2026)

InRank: Incremental Low-Rank Learning
by: Zhao, Jiawei, et al.
Published: (2023)

Generative Representational Instruction Tuning
by: Muennighoff, Niklas, et al.
Published: (2024)

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models
by: Nakis, Nikolaos, et al.
Published: (2026)

Sign Rank Limitations for Inner Product Graph Decoders
by: Lee, Su Hyeong, et al.
Published: (2024)

Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
by: Ghosh, Ipsita, et al.
Published: (2025)

Probe-Free Low-Rank Activation Intervention
by: Jiang, Chonghe, et al.
Published: (2025)

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
by: Abbasi, Ali, et al.
Published: (2026)

Soft Condorcet Optimization for Ranking of General Agents
by: Lanctot, Marc, et al.
Published: (2024)

Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
by: D'Oosterlinck, Karel, et al.
Published: (2024)

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting
by: Wang, Beibei, et al.
Published: (2026)

Generalized Low-Rank Matrix Contextual Bandits with Graph Information
by: Wang, Yao, et al.
Published: (2025)

Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
by: Roth, Andreas, et al.
Published: (2024)

Few-shot Continual Relation Extraction via Open Information Extraction
by: Nguyen, Thiem, et al.
Published: (2025)

RankOOD -- Class Ranking-based Out-of-Distribution Detection
by: Denipitiyage, Dishanika, et al.
Published: (2025)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
by: Niu, Chaoxi, et al.
Published: (2024)

Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
by: Wang, Yancheng, et al.
Published: (2024)

Ranking-aware Reinforcement Learning for Ordinal Ranking
by: Hao, Aiming, et al.
Published: (2026)

Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
by: Rumiantsev, Pavel, et al.
Published: (2025)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
by: Sinhababu, Nilanjan, et al.
Published: (2024)

LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
by: Lin, Yan, et al.
Published: (2026)

Multi-label Ranking: Mining Multi-label and Label Ranking Data
by: Dery, Lihi
Published: (2021)

Estimating the Effective Rank of Vision Transformers via Low-Rank Factorization
by: Zerihun, Liyu
Published: (2025)

ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning
by: Yuan, Chaohao, et al.
Published: (2025)

Inference-time Stochastic Ranking with Risk Control
by: Guo, Ruocheng, et al.
Published: (2023)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)

RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts
by: Truong, Tuan, et al.
Published: (2025)

AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
by: Zhou, Ruihan, et al.
Published: (2024)

Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

Revisiting PlayeRank
by: Schmidt, Louise, et al.
Published: (2024)

Partial Rankings of Optimizers
by: Rodemann, Julian, et al.
Published: (2024)

Rank Reduction Autoencoders
by: Mounayer, Jad, et al.
Published: (2024)