QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Shiyue, Wan, David, Cattan, Arie, Klein, Ayal, Dagan, Ido, Bansal, Mohit |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GenerationPrograms: Fine-grained Attribution with Executable Programs
by: Wan, David, et al.
Published: (2025)
by: Wan, David, et al.
Published: (2025)
Localizing Factual Inconsistencies in Attributable Text Generation
by: Cattan, Arie, et al.
Published: (2024)
by: Cattan, Arie, et al.
Published: (2024)
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
by: Harary, Sapir, et al.
Published: (2025)
by: Harary, Sapir, et al.
Published: (2025)
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
by: Nachshoni, Eviatar, et al.
Published: (2025)
by: Nachshoni, Eviatar, et al.
Published: (2025)
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
by: Roit, Paul, et al.
Published: (2024)
by: Roit, Paul, et al.
Published: (2024)
Attribute First, then Generate: Locally-attributable Grounded Text Generation
by: Slobodkin, Aviv, et al.
Published: (2024)
by: Slobodkin, Aviv, et al.
Published: (2024)
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection
by: Eliav, Ron, et al.
Published: (2025)
by: Eliav, Ron, et al.
Published: (2025)
FineSurE: Fine-grained Summarization Evaluation using LLMs
by: Song, Hwanjun, et al.
Published: (2024)
by: Song, Hwanjun, et al.
Published: (2024)
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
by: Cho, Jaemin, et al.
Published: (2023)
by: Cho, Jaemin, et al.
Published: (2023)
LAQuer: Localized Attribution Queries in Content-grounded Generation
by: Hirsch, Eran, et al.
Published: (2025)
by: Hirsch, Eran, et al.
Published: (2025)
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
by: Zhang, Shiyue, et al.
Published: (2023)
by: Zhang, Shiyue, et al.
Published: (2023)
QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs
by: Tseytlin, Maria, et al.
Published: (2025)
by: Tseytlin, Maria, et al.
Published: (2025)
Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLM
by: Yuan, Dong, et al.
Published: (2024)
by: Yuan, Dong, et al.
Published: (2024)
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
by: Wan, David, et al.
Published: (2025)
by: Wan, David, et al.
Published: (2025)
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning
by: Patil, Vaidehi, et al.
Published: (2025)
by: Patil, Vaidehi, et al.
Published: (2025)
Effective QA-driven Annotation of Predicate-Argument Relations Across Languages
by: Davidov, Jonathan, et al.
Published: (2026)
by: Davidov, Jonathan, et al.
Published: (2026)
A Comparative Study of Quality Evaluation Methods for Text Summarization
by: Nguyen, Huyen, et al.
Published: (2024)
by: Nguyen, Huyen, et al.
Published: (2024)
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
by: Goldman, Omer, et al.
Published: (2024)
by: Goldman, Omer, et al.
Published: (2024)
Identifying User Goals from UI Trajectories
by: Berkovitch, Omri, et al.
Published: (2024)
by: Berkovitch, Omri, et al.
Published: (2024)
Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
by: Lee, Daeun, et al.
Published: (2024)
by: Lee, Daeun, et al.
Published: (2024)
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
by: Wan, Yuwei, et al.
Published: (2024)
by: Wan, Yuwei, et al.
Published: (2024)
Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
by: Slobodkin, Aviv, et al.
Published: (2023)
by: Slobodkin, Aviv, et al.
Published: (2023)
Parameter-Efficient Fine-Tuning for Medical Text Summarization: A Comparative Study of Lora, Prompt Tuning, and Full Fine-Tuning
by: Shernazarov, Ulugbek, et al.
Published: (2026)
by: Shernazarov, Ulugbek, et al.
Published: (2026)
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
by: Stengel-Eskin, Elias, et al.
Published: (2024)
by: Stengel-Eskin, Elias, et al.
Published: (2024)
Teaching Models to Balance Resisting and Accepting Persuasion
by: Stengel-Eskin, Elias, et al.
Published: (2024)
by: Stengel-Eskin, Elias, et al.
Published: (2024)
Language Models Identify Ambiguities and Exploit Loopholes
by: Choi, Jio, et al.
Published: (2025)
by: Choi, Jio, et al.
Published: (2025)
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
by: Sung, Yi-Lin, et al.
Published: (2023)
by: Sung, Yi-Lin, et al.
Published: (2023)
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests
by: Saad-Falcon, Jon, et al.
Published: (2024)
by: Saad-Falcon, Jon, et al.
Published: (2024)
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
by: Liang, Xiaobo, et al.
Published: (2024)
by: Liang, Xiaobo, et al.
Published: (2024)
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
by: Wan, David, et al.
Published: (2024)
by: Wan, David, et al.
Published: (2024)
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts
by: Golany, Lotem, et al.
Published: (2024)
by: Golany, Lotem, et al.
Published: (2024)
ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
by: Deng, Xiaoyu, et al.
Published: (2025)
by: Deng, Xiaoyu, et al.
Published: (2025)
DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation
by: Wang, Zun, et al.
Published: (2024)
by: Wang, Zun, et al.
Published: (2024)
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
by: An, Bang, et al.
Published: (2025)
by: An, Bang, et al.
Published: (2025)
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs
by: Lee, Yuho, et al.
Published: (2024)
by: Lee, Yuho, et al.
Published: (2024)
An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)
by: Aly, Walid Mohamed, et al.
Published: (2025)
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
by: Goren, Shani, et al.
Published: (2026)
by: Goren, Shani, et al.
Published: (2026)
Evaluating the Retrieval Robustness of Large Language Models
by: Cao, Shuyang, et al.
Published: (2025)
by: Cao, Shuyang, et al.
Published: (2025)
CNsum:Automatic Summarization for Chinese News Text
by: Zhao, Yu, et al.
Published: (2025)
by: Zhao, Yu, et al.
Published: (2025)
A Unifying Scheme for Extractive Content Selection Tasks
by: Amar, Shmuel, et al.
Published: (2025)
by: Amar, Shmuel, et al.
Published: (2025)
Similar Items
-
GenerationPrograms: Fine-grained Attribution with Executable Programs
by: Wan, David, et al.
Published: (2025) -
Localizing Factual Inconsistencies in Attributable Text Generation
by: Cattan, Arie, et al.
Published: (2024) -
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
by: Harary, Sapir, et al.
Published: (2025) -
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
by: Nachshoni, Eviatar, et al.
Published: (2025) -
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
by: Roit, Paul, et al.
Published: (2024)