Pairwise Preference Evaluation

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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TuneJury: An Open Metric for Improving Music Generation Preference Alignment
Jun 15, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +5Text-to-Music Generation Music Generation Evaluation
Georgia Tech · KAIST · Peking University +3
Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling
Jun 14, 2026Yujin Park, Haejun Chung, Ikbeom JangPairwise Preference Learning Pairwise Comparison
Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea
From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
Jun 11, 2026Bora Kargi, David SalinasLLM Evaluation Pairwise Comparison
ELLIS Institute Tübingen · OpenEuroLLM
Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings
Jun 8, 2026Mina Remeli, Moritz HardtPairwise Comparison LLM-as-a-Judge
Max Planck Institute for Intelligent Systems, Tübingen, Germany, Tübingen AI Center
DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual Sensitivity
Jun 8, 2026Fengyuan Liu, Yongliang Miao, Zirui He +3Pairwise Preference Learning Reward Modeling
The Chinese University of Hong Kong, Shenzhen · New Jersey Institute of Technology · Institute of Computing Technology, CAS
Local Preferential Bayesian Optimization
Jun 1, 2026Johanna Menn, Miriam Kober, Paul Brunzema +2Pairwise Preference Learning Pairwise Preference Evaluation
Institute for Data Science in Mechanical Engineering, RWTH Aachen University, Aachen, Germany · Department of Clinical Research, University of Bern, Bern, Switzerland · Center for Reproducible Science and Research Synthesis, University of Zurich, Zurich, Switzerland +1
From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
May 31, 2026Jun-Jie Yang, Chia-Heng Hsu, Kui-Yuan Chen +1Pairwise Preference Learning Representation Learning
Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
May 29, 2026Jonathan Colaço Carr, Prakash Panangaden, Doina Precup +1Pairwise Preference Learning Markov Decision Processes
Stanford University · School of Computer Science, McGill University, Montreal, Quebec, Canada · Mila - Quebec AI Institute, Montreal, Quebec, Canada +1
The Representation-Rationalizability Tradeoff in Reward Learning
May 29, 2026Jing Dong, Yaoliang Yu, Pascal PourpartPairwise Preference Learning Reward Modeling
Vector Institute · University of Waterloo & Vector Institute
Pairwise Reference Alignment as a Model-Level Ordinal Observable
May 29, 2026Mujing LiHuman Preference Evaluation LLM Evaluation
Independent Researcher
Reward Learning from Best-of- $N$ Preference Data: Targets, Tradeoffs, and Design Principles
May 28, 2026Rattana Pukdee, Maria-Florina Balcan, Pradeep RavikumarPairwise Preference Learning Reward Modeling
Machine Learning Department Carnegie Mellon University
Resolution Diagnostics for Paired LLM Evaluation
May 28, 2026Anany KotawalaLLM Evaluation Pairwise Comparison
Princeton University, Princeton, NJ, USA.
From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals
May 28, 2026Yeyong Yu, Wenya Hu, Xing Wu +1LLM Evaluation Pairwise Preference Evaluation
School of Computer Engineering & Science, Shanghai University, Shanghai, 200444, China. · Center of Materials Informatics and Data Science, Materials Genome2026 Institute, Shanghai University, Shanghai, 200444, China. · Key Laboratory of Silicate Cultural Relics Conservation (Shanghai University), Ministry of Education, China. +1
Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical Safety
May 25, 2026Fay Elhassan, David Sasu, Alexandra Kulinkina +2LLM Safety Benchmarks Human Preference Evaluation
LiGHT Laboratory, EPFL, Lausanne, Switzerland
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks
May 25, 2026Yanhang Li, Zhichao Fan, Zexin ZhuangPairwise Comparison Pairwise Preference Evaluation
Northeastern University, Boston, MA, USA · University of Illinois Urbana-Champaign, Urbana, IL, USA · Southern Methodist University, Dallas, TX, USA
JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
May 24, 2026Russell Yang, Ruishi Chen, Pierce Kelaita +6Human Preference Evaluation LLM Evaluation
Stanford University · Snorkel AI · Harvey
RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
May 20, 2026Zhenwei Tang, Zhaoyan Liu, Rasa Hosseinzadeh +3LLM Evaluation Pairwise Comparison
Layer 6 AI · University of Toronto
Preferences Order, Ratings Anchor: From Fused Expert Aesthetic Ground Truth to Self-Distillation
May 19, 2026Yuanpei Zhao, Jie Lin, Chao Zhang +5Pairwise Preference Learning Personalized Image Aesthetics Assessment
1Sichuan University · 2NetEase Fuxi AI Lab · †Work done during an internship at NetEase Fuxi AI Lab. +1
CriterAlign: Criterion-Centric Rationale Alignment for Code Preference Judging
May 19, 2026Zhenyu Li, Aleksandar Cvejic, Zehui Chen +1Pairwise Preference Learning Human Preference Evaluation
KAUST · USTC
Pairwise Preference Reward and Group-Based Diversity Enhancement for Superior Open-Ended Generation
May 18, 2026Guining Cao, Jiaxin Peng, Chu Zeng +3Pairwise Preference Learning Open-Ended Generation
Xingchen AGI Lab, China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd · School of Software and Microelectronics, Peking University · Tsinghua University
CAPS: Cascaded Adaptive Pairwise Selection for Efficient Parallel Reasoning
May 15, 2026Fangzhou Lin, Shuo Xing, Peiran Li +6Pairwise Comparison Pairwise Preference Evaluation
Texas A&M University · Georgia Institute of Technology · Tohoku University +1
Active Learners as Efficient PRP Rerankers
May 14, 2026Jeremías Figueiredo Paschmann, Juan Kaplan, Francisco Nattero +3Pairwise Preference Learning Pairwise Comparison
ELIAS Lab, Departamento de Ingeniería, Universidad de San Andrés
TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching
May 12, 2026Truong Nguyen, Tien-Phat Nguyen, Linh Ngo Van +3Pairwise Preference Learning LLM Alignment
Hanoi University of Science and Technology · University of Stuttgart · German Research Center for Artificial Intelligence +3
Variance-aware Reward Modeling with Anchor Guidance
May 12, 2026Shuxing Fang, Ruijian Han, Liangyu Zhang +1Pairwise Preference Learning Reward Modeling
Department of Data Science and Artificial Intelligence, Hong Kong Polytechnic University · School of Statistics and Data Science, Shanghai University of Finance and Economics
Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
May 10, 2026Yanran LiLLM Evaluation LLM-as-a-Judge
Department of Biostatistics Columbia University
Efficient Ensemble Selection from Binary and Pairwise Feedback
May 10, 2026Tzeh Yuan Neoh, Nicholas Teh, Je Qin Chooi +2Pairwise Comparison Pairwise Preference Evaluation
Harvard University, USA · University of Oxford, UK
Sufficient conditions for a Heuristic Rating Estimation Method application
May 9, 2026Jacek Szybowski, Konrad Kułakowski, Jiri MazurekPairwise Comparison Pairwise Preference Evaluation
AGH University of Science and Technology, Faculty of Applied Mathematics, Krakow, Poland · AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Krakow, Poland · Silesian University in Opava, Department of Informatics and Mathematics, School of Business Administration in Karvina, Czech Republic
Response Time Enhances Alignment with Heterogeneous Preferences
May 7, 2026Federico Echenique, Alireza Fallah, Baihe Huang +1Pairwise Preference Learning LLM Alignment
Department of Economics, University of California, Berkeley · Department of Computer Science and Ken Kennedy Institute, Rice University · Departments of Electrical Engineering and Computer Sciences, University of California, Berkeley +2
Pair2Score: Pairwise-to-Absolute Transfer for LLM-Based Essay Scoring
May 3, 2026İbrahim Rıza Hallaç, Hasan OğulPairwise Preference Learning Pairwise Comparison
Department of Computer Science and Communication · Østfold University College, Halden 1757, Norway
Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare
May 3, 2026Maheed H. Ahmed, Mahsa GhasemiPairwise Preference Learning Multi-Armed Bandits
Electrical and Computer Engineering Purdue University

Jun 15, 2026, cs.SDJ/K move · Enter open · S save

TuneJury: An Open Metric for Improving Music Generation Preference Alignment

Yonghyun Kim, Junwon Lee, Haiwen Xia, Yinghao Ma+4

Georgia Tech · KAIST · Peking University+3

Text-to-Music Generation Music Generation Evaluation Reward Modeling Pairwise Comparison Pairwise Preference Evaluation Pairwise Ranking+2

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We introduce TuneJury, an open, instance-level pairwise reward model for text-to-music that predicts a music preference score from a text prompt and an audio clip. The released checkpoint is trained on publicly available human-preference labels covering arena-style (A vs. B) votes, metric-alignment preference pairs, crowdsourced pairwise comparisons, and expert aesthetic ratings. The predicted score margin between two clips is well calibrated on our held-out test split, supporting data filtering via a simple score threshold. TuneJury generalizes to both held-out test pairs and out-of-distribution benchmarks, remaining competitive with prior baselines on the latter. For generators released after training, we introduce anchor calibration, a post-hoc, per-system Bradley-Terry calibration that recovers agreement at substantially better data efficiency than from-scratch retraining. The same frozen reward drives consistent reward-axis gains across three downstream applications: inference-time best-of-N selection, DITTO-style latent optimization, and expert-iteration post-training. TuneJury is available at https://github.com/yonghyunk1m/TuneJury.

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