Saved in:
| Main Authors: | Zhou, Yuxuan, Keuper, Margret, Fritz, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.13586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Divide & Bind Your Attention for Improved Generative Semantic Nursing
by: Li, Yumeng, et al.
Published: (2023)
by: Li, Yumeng, et al.
Published: (2023)
MultiMax: Sparse and Multi-Modal Attention Learning
by: Zhou, Yuxuan, et al.
Published: (2024)
by: Zhou, Yuxuan, et al.
Published: (2024)
Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
by: Yu, Sunny, et al.
Published: (2025)
by: Yu, Sunny, et al.
Published: (2025)
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
by: Carlsson, Fredrik, et al.
Published: (2024)
by: Carlsson, Fredrik, et al.
Published: (2024)
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
by: Samvelyan, Mikayel, et al.
Published: (2024)
by: Samvelyan, Mikayel, et al.
Published: (2024)
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
by: Choi, Hyeong Kyu, et al.
Published: (2026)
by: Choi, Hyeong Kyu, et al.
Published: (2026)
Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)
by: Demchak, Nathaniel, et al.
Published: (2024)
Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
by: Chen, Nuo, et al.
Published: (2026)
by: Chen, Nuo, et al.
Published: (2026)
How Do Training Methods Influence the Utilization of Vision Models?
by: Gavrikov, Paul, et al.
Published: (2024)
by: Gavrikov, Paul, et al.
Published: (2024)
DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
by: Hu, Tianyi, et al.
Published: (2026)
by: Hu, Tianyi, et al.
Published: (2026)
Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
by: Lu, Xiaotian, et al.
Published: (2024)
by: Lu, Xiaotian, et al.
Published: (2024)
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)
by: Li, Yu, et al.
Published: (2024)
A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds
by: Cui, Christopher Z., et al.
Published: (2024)
by: Cui, Christopher Z., et al.
Published: (2024)
Basis Vector Metric: A Method for Robust Open-Ended State Change Detection
by: Oprea, David, et al.
Published: (2025)
by: Oprea, David, et al.
Published: (2025)
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
by: Wang, Zhanliang, et al.
Published: (2026)
by: Wang, Zhanliang, et al.
Published: (2026)
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
by: Deroy, Aniket, et al.
Published: (2024)
by: Deroy, Aniket, et al.
Published: (2024)
Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)
by: Hogan, Daniel P., et al.
Published: (2024)
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
by: Guo, Zhihan, et al.
Published: (2025)
by: Guo, Zhihan, et al.
Published: (2025)
Towards Open-Ended Discovery for Low-Resource NLP
by: Dossou, Bonaventure F. P., et al.
Published: (2025)
by: Dossou, Bonaventure F. P., et al.
Published: (2025)
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
by: Jinnai, Yuu, et al.
Published: (2024)
by: Jinnai, Yuu, et al.
Published: (2024)
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
by: Hu, Anqi, et al.
Published: (2026)
by: Hu, Anqi, et al.
Published: (2026)
Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)
by: Shaik, Hashmath, et al.
Published: (2024)
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
by: Xie, Tianbao, et al.
Published: (2024)
by: Xie, Tianbao, et al.
Published: (2024)
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
by: Troshin, Sergey, et al.
Published: (2025)
by: Troshin, Sergey, et al.
Published: (2025)
Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
by: Lee, Jaehyeok, et al.
Published: (2026)
by: Lee, Jaehyeok, et al.
Published: (2026)
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
by: Tran, Khanh-Tung, et al.
Published: (2025)
by: Tran, Khanh-Tung, et al.
Published: (2025)
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
by: Franceschelli, Giorgio, et al.
Published: (2025)
by: Franceschelli, Giorgio, et al.
Published: (2025)
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
by: Wang, Jize, et al.
Published: (2026)
by: Wang, Jize, et al.
Published: (2026)
Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation
by: Yang, Zixuan, et al.
Published: (2026)
by: Yang, Zixuan, et al.
Published: (2026)
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
by: Mitsides, Konstantinos, et al.
Published: (2026)
by: Mitsides, Konstantinos, et al.
Published: (2026)
AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
by: Li, Yishan, et al.
Published: (2026)
by: Li, Yishan, et al.
Published: (2026)
R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning
by: Liu, Wanlong, et al.
Published: (2026)
by: Liu, Wanlong, et al.
Published: (2026)
Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
by: An, Subin, et al.
Published: (2025)
by: An, Subin, et al.
Published: (2025)
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models
by: Hutson, Dylan, et al.
Published: (2025)
by: Hutson, Dylan, et al.
Published: (2025)
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
by: Hadar, Cfir Avraham, et al.
Published: (2025)
by: Hadar, Cfir Avraham, et al.
Published: (2025)
XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
by: Iyer, Vivek, et al.
Published: (2025)
by: Iyer, Vivek, et al.
Published: (2025)
Similar Items
-
Divide & Bind Your Attention for Improved Generative Semantic Nursing
by: Li, Yumeng, et al.
Published: (2023) -
MultiMax: Sparse and Multi-Modal Attention Learning
by: Zhou, Yuxuan, et al.
Published: (2024) -
Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
by: Yu, Sunny, et al.
Published: (2025) -
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
by: Carlsson, Fredrik, et al.
Published: (2024) -
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
by: Samvelyan, Mikayel, et al.
Published: (2024)