Copertina

Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Geiger, Luisa, Hartmann, Mareike, Sullivan, Michael, Koller, Alexander
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Survey on Complex Tasks for Goal-Directed Interactive Agents
di: Hartmann, Mareike, et al.
Pubblicazione: (2024)

Procedural Environment Generation for Tool-Use Agents
di: Sullivan, Michael, et al.
Pubblicazione: (2025)

Fine-grained Controllable Text Generation through In-context Learning with Feedback
di: Thillainathan, Sarubi, et al.
Pubblicazione: (2024)

AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
di: Thillainathan, Sarubi, et al.
Pubblicazione: (2026)

Recent Advancements and Challenges of Turkic Central Asian Language Processing
di: Veitsman, Yana, et al.
Pubblicazione: (2024)

ADaPT: As-Needed Decomposition and Planning with Language Models
di: Prasad, Archiki, et al.
Pubblicazione: (2023)

Simple and effective data augmentation for compositional generalization
di: Yao, Yuekun, et al.
Pubblicazione: (2024)

Predicting generalization performance with correctness discriminators
di: Yao, Yuekun, et al.
Pubblicazione: (2023)

Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
di: Anagnostopoulou, Aliki, et al.
Pubblicazione: (2023)

Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
di: Gurgurov, Daniil, et al.
Pubblicazione: (2024)

LLMs Generate Kitsch
di: Klinge, Xenia, et al.
Pubblicazione: (2026)

LLMs syntactically adapt their language use to their conversational partner
di: Kandra, Florian, et al.
Pubblicazione: (2025)

Collaborative Problem-Solving in an Optimization Game
di: Jeknic, Isidora, et al.
Pubblicazione: (2025)

SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
di: Lindemann, Matthias, et al.
Pubblicazione: (2023)

A Dialogue Game for Eliciting Balanced Collaboration
di: Jeknić, Isidora, et al.
Pubblicazione: (2024)

Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
di: Lindemann, Matthias, et al.
Pubblicazione: (2024)

Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
di: Stein, Katharina, et al.
Pubblicazione: (2023)

How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
di: Doostmohammadi, Ehsan, et al.
Pubblicazione: (2024)

Evaluating Diversity in Automatic Poetry Generation
di: Chen, Yanran, et al.
Pubblicazione: (2024)

Automatic Answerability Evaluation for Question Generation
di: Wang, Zifan, et al.
Pubblicazione: (2023)

Less is More for Improving Automatic Evaluation of Factual Consistency
di: Wang, Tong, et al.
Pubblicazione: (2024)

Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
di: Stein, Katharina, et al.
Pubblicazione: (2025)

Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
di: Yao, Yuekun, et al.
Pubblicazione: (2025)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
di: Wang, Yidong, et al.
Pubblicazione: (2023)

AIR: Complex Instruction Generation via Automatic Iterative Refinement
di: Liu, Wei, et al.
Pubblicazione: (2025)

Positional Biases Shift as Inputs Approach Context Window Limits
di: Veseli, Blerta, et al.
Pubblicazione: (2025)

Scope-enhanced Compositional Semantic Parsing for DRT
di: Yang, Xiulin, et al.
Pubblicazione: (2024)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
di: Liu, Yilun, et al.
Pubblicazione: (2023)

Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
di: Furuhashi, Momoka, et al.
Pubblicazione: (2025)

Does Instruction Tuning Make LLMs More Consistent?
di: Fierro, Constanza, et al.
Pubblicazione: (2024)

AutoMetrics: Approximate Human Judgements with Automatically Generated Evaluators
di: Ryan, Michael J., et al.
Pubblicazione: (2025)

Barriers to Universal Reasoning With Transformers (And How to Overcome Them)
di: Kraus, Oliver, et al.
Pubblicazione: (2026)

Exploring Format Consistency for Instruction Tuning
di: Liang, Shihao, et al.
Pubblicazione: (2023)

Evaluating the Consistency of LLM Evaluators
di: Lee, Noah, et al.
Pubblicazione: (2024)

D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
di: Byun, Grace, et al.
Pubblicazione: (2025)

Automatic Instruction Evolving for Large Language Models
di: Zeng, Weihao, et al.
Pubblicazione: (2024)

A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
di: Duchnowski, Alex, et al.
Pubblicazione: (2025)

Evaluation of Automatic Speech Recognition Using Generative Large Language Models
di: Bañeras-Roux, Thibault, et al.
Pubblicazione: (2026)

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning
di: Scarlatos, Alexander, et al.
Pubblicazione: (2024)

RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
di: Yang, Yixin, et al.
Pubblicazione: (2025)