Open-Ended Generation

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

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MatrixReward: Reward from Rubric Matrix for Open-Ended Generation
Sep 30, 2026Zihan Shen, Qi Liu, Zixuan Yang +4Open-Ended Generation Reward Modeling
Zhejiang University · Qwen Business Unit of Alibaba · Renmin University of China
RankBuffer: Efficient Ranking-Based Rewards for Open-Ended Generation
Sep 29, 2026Zixuan Yang, Yiqun Chen, Qi Liu +6Open-Ended Generation Reward Modeling
Renmin University of China · University of Southern California · Xiaohongshu Inc.
Quality Determines Direction, Length Shapes Magnitude: Length Control for Open-Ended Reinforcement Learning
Sep 28, 2026Zijun Weng, Zhongan Bi, Xuanang Gao +5Open-Ended Generation RL for Language Models
Fudan University · Xingchen AGI Lab, China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd. · Zhejiang University +1
Reference-Based Analysis of Coherence and Diversity in Open-Ended Text Generation
Sep 23, 2026Esteban Garcés AriasOpen-Ended Generation Language Model Generation Evaluation
Department of Statistics, LMU Munich Munich Center for Machine Learning (MCML)
Alaya-EVOKE: From Linear-Scaling Supervision to Endless World
Aug 13, 2026Yuanyang Yin, Gongxuan Wang, Yifan Zhan +3Open-Ended Generation Long-Horizon Video Generation
MoE Key Lab of BIPC, USTC · Shanghai Innovation Institute · Alaya Lab
RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning
Aug 10, 2026Jinkun Hou, Zhuo Liu, Huimin Ren +3Open-Ended Generation RL for Language Models
1Peking University · 2Beijing Institute of Technology · 3Li Auto Inc.
Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation
Aug 6, 2026Zini Yang, Emily Wenger, Richard SoOpen-Ended Generation LLM Evaluation
Department of Computer Science, Duke University, Durham, NC, USA · Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA · Department of English, Duke University, Durham, NC, USA
WorldClaw: Agentic 3D Open-World Generation at Scale
Aug 5, 2026Chunchao Guo, Jinpeng Li, Yang Li +1Open-Ended Generation 3D Asset Generation
Tencent Hunyuan
EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks
Aug 5, 2026Pau Arnal, Khaled Denfir, Danylo Smahliuk +2Open-Ended Generation LLM Evaluation
Sovrano AI
Rubrics as Privileged Information for Open-Ended Generation
Aug 3, 2026Deepika Bablani, Ajay Gupta, Wanming ChenOpen-Ended Generation Rubric-Based Evaluation
Apple
CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
Jul 31, 2026Mengting Chen, Yanshu Sun, Wanting Liang +5Open-Ended Generation LLM Evaluation
FinStep · StepFun
QuantiBias: Benchmarking Quantization-Induced Bias in LLMs
Jul 23, 2026Emilio FerraraOpen-Ended Generation LLM Quantization
Thomas Lord Department of Computer Science University of Southern California
Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness
Jul 21, 2026Xilun Chen, Zhaleh Feizollahi, Ross Goodwin +5Open-Ended Generation LLM-as-a-Judge
Meta AI
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation
Jul 14, 2026Qingyu Zhang, Qianhao Yuan, Hongyu Lin +7Open-Ended Generation LLM Pruning
2Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences · 1ByteDance
OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning
Jun 24, 2026Wenxuan Jiang, Zining Fan, Zijian Zhang +6Open-Ended Generation Intrinsic Reward Methods
The Hong Kong Polytechnic University · Peking University · Meituan Longcat Team +2
Breaking the Likelihood Trap: Variance-Calibrated Modulation for Large Language Model Decoding
Jun 21, 2026Yuanhao Ding, Meimingwei Li, Esteban Garces Arias +3Open-Ended Generation Language Model Decoding
School of Computer and Information Engineering, Henan University · Department of Statistics, LMU Munich · 3Munich Center for Machine Learning (MCML)
RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering
Jun 17, 2026Pushwitha Krishnappa, Amit Das, Vinija Jain +2Open-Ended Generation LLM Evaluation
University of Alabama Huntsville · University of North Alabama · Stanford University +2
The Benchmark Illusion: Pruned LLMs Can Pass Multiple Choice but Fail to Answer
Jun 16, 2026Rui Wen, Lu Sun, Jiayang Liu +3Open-Ended Generation LLM Evaluation
Institute of Science Tokyo · Tohoku University · Nanyang Technological University +2
A Compositional Framework for Open-ended Intelligence
Jun 13, 2026Ida Momennejad, Roberta RaileanuOpen-Ended Generation Compositional Generalization
Microsoft Research NYC, New York, USA · Google DeepMind, London, UK.
Agreement in Representation Space for Open-Ended Self-Consistency
Jun 10, 2026Paula Ontalvilla, Gorka Azkune, Aitor OrmazabalOpen-Ended Generation Self-Consistency Decoding
HiTZ Center - Ixa, University of the Basque Country (UPV/EHU)
Where You Inject Diversity Matters: A Unified Framework for Diverse Generation
Jun 9, 2026Cheng Zhang, Rui Xin, Chudi ZhongOpen-Ended Generation Controllable Text Generation
UNC Chapel Hill · University of Washington
IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking
Jun 8, 2026Zechen Sun, Yuyang Sun, Zecheng Tang +6Open-Ended Generation Long-Form Document Generation
Institute of Computer Science and Technology, Soochow University · 2Information Research Center of Military Science, PLA Academy of Military Science
Before and After Temperature: A Distributional View of Creative LLM Generation
May 31, 2026V. S. Raghu Parupudi, Harsha Ponnada, Aditi Kaushal +3Open-Ended Generation Creativity Assessment
University of California, San Diego · Indian Institute of Technology, Kharagpur · Delhi Technological University +3
Deep Research as Rubric for Reinforcement Learning
May 31, 2026Wangyi Mei, Zhouhong Gu, Zhenhan Bai +9Open-Ended Generation Reinforcement Learning
Fudan University · Xiaohongshu Inc. · Beijing University of Posts and Telecommunications
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
May 29, 2026Wai-Chung Kwan, Aryo Pradipta Gema, Joshua Ong Jun Leang +1Open-Ended Generation Self-Play RL
University of Edinburgh · Imperial College London
EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
May 28, 2026Xin Guan, Xiaomeng Hu, Shen Huang +6Open-Ended Generation RL for Language Models
Tongyi Lab, Alibaba Group
Prompt-Level Reward Specifications for Open-Ended Post-Training
May 28, 2026Zijun Weng, Xiaohui Hu, Shuangyong Song +3Open-Ended Generation Reward Modeling
1Fudan University · 2Xingchen AGI Lab, China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd.
Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation
May 26, 2026Zixuan Yang, Yiqun Chen, Wei Yang +7Open-Ended Generation Reward Modeling
Renmin University of China · University of Southern California · Zhejiang University +1
QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability
May 25, 2026Bo Zou, Chao XuOpen-Ended Generation Creativity Assessment
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

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

MatrixReward: Reward from Rubric Matrix for Open-Ended Generation

Zihan Shen, Qi Liu, Zixuan Yang, Yiqun Chen+3

Zhejiang University · Qwen Business Unit of Alibaba · Renmin University of China

Open-Ended Generation Reward Modeling Rubric-Based RL Rubric-Based Evaluation

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Open-ended query generation lacks standard answers, thus necessitating an effective reward mechanism. Pointwise scoring rubrics provide limited information about the relative quality of sample answers under the same prompt; merging multiple rubric judgments into a single score may also mask the differences between these answers. We propose MatrixReward, which constructs rewards from a rollout-by-rubric win-rate matrix obtained by comparing every pair of sampled responses under each rubric. The spread of each matrix column captures how strongly that rubric distinguishes the current rollouts, while correlations between columns reveal rubric repetition; together, these statistics yield data-dependent rubric weights. We combine these weights with the prior weights of rubrics. After column normalization and weighting, the observed per-rubric maxima and minima define positive and negative ideal profiles. Each rollout's distances to these two ideals determine its relative-closeness quality reward. Evaluated using Qwen3-8B on four open-ended query-answering benchmarks, MatrixReward achieves an average score of 63.02, outperforming the strongest baseline by approximately 2.0%. These results support the idea that matrices derived from relative comparisons can be used to construct rewards more reasonably for open-ended generative reinforcement learning.

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