Copertina

FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	McCallum, Sabrina, Parekh, Amit, Suglia, Alessandro
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
di: Parekh, Amit, et al.
Pubblicazione: (2024)

VoyagerVision: Investigating the Role of Multi-modal Information for Open-ended Learning Systems
di: Smyth, Ethan, et al.
Pubblicazione: (2025)

Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks
di: Pantazopoulos, Georgios, et al.
Pubblicazione: (2024)

AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding
di: Suglia, Alessandro, et al.
Pubblicazione: (2024)

VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
di: Saxena, Rohit, et al.
Pubblicazione: (2026)

ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models
di: Chen, Guiming Hardy, et al.
Pubblicazione: (2024)

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
di: Mehrafarin, Houman, et al.
Pubblicazione: (2026)

MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time
di: Phan, Peter, et al.
Pubblicazione: (2025)

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
di: Fei, Zhaoye, et al.
Pubblicazione: (2025)

Large Language Models as Generalizable Policies for Embodied Tasks
di: Szot, Andrew, et al.
Pubblicazione: (2023)

ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
di: Schroeder, Philip, et al.
Pubblicazione: (2025)

Token-based Decision Criteria Are Suboptimal in In-context Learning
di: Cho, Hakaze, et al.
Pubblicazione: (2024)

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
di: Cheng, Qi, et al.
Pubblicazione: (2024)

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
di: Mishra, Prakamya, et al.
Pubblicazione: (2024)

Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
di: Cho, Hyunsoo
Pubblicazione: (2024)

Quantifying Generalisation in Imitation Learning
di: Gavenski, Nathan, et al.
Pubblicazione: (2025)

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
di: Pantazopoulos, Georgios, et al.
Pubblicazione: (2024)

Language Model Distillation: A Temporal Difference Imitation Learning Perspective
di: Yu, Zishun, et al.
Pubblicazione: (2025)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
di: Du, Mengfei, et al.
Pubblicazione: (2024)

Dynamic Strategy Planning for Efficient Question Answering with Large Language Models
di: Parekh, Tanmay, et al.
Pubblicazione: (2024)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
di: Wang, Rui, et al.
Pubblicazione: (2025)

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

CIRCUS: Circuit Consensus under Uncertainty via Stability Ensembles
di: Parekh, Swapnil
Pubblicazione: (2026)

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
di: Xie, Tengyang, et al.
Pubblicazione: (2024)

Natural-Language Agent Harnesses
di: Pan, Linyue, et al.
Pubblicazione: (2026)

Imitating Language via Scalable Inverse Reinforcement Learning
di: Wulfmeier, Markus, et al.
Pubblicazione: (2024)

Learning to Learn from Language Feedback with Social Meta-Learning
di: Cook, Jonathan, et al.
Pubblicazione: (2026)

Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
di: Fan, Jiangdong, et al.
Pubblicazione: (2024)

Vision-Language Interpreter for Robot Task Planning
di: Shirai, Keisuke, et al.
Pubblicazione: (2023)

Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
di: Zhang, Yang, et al.
Pubblicazione: (2025)

Hallucination Detection-Guided Preference Optimization for Clinical Summarization
di: Seethakantha, Shamanth Kuthpadi, et al.
Pubblicazione: (2026)

A Multi-Task Role-Playing Agent Capable of Imitating Character Linguistic Styles
di: Chen, Siyuan, et al.
Pubblicazione: (2024)

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
di: Aynetdinov, Ansar, et al.
Pubblicazione: (2026)

Provable Benefits of Task-Specific Prompts for In-context Learning
di: Chang, Xiangyu, et al.
Pubblicazione: (2025)

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
di: Yang, Rui, et al.
Pubblicazione: (2025)

ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
di: Melikidze, Davit, et al.
Pubblicazione: (2026)

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis)
di: Hartill, Tim
Pubblicazione: (2024)

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
di: Ding, Zepeng, et al.
Pubblicazione: (2024)

Automatic Essay Scoring and Feedback Generation in Basque Language Learning
di: Azurmendi, Ekhi, et al.
Pubblicazione: (2025)

Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
di: Jan, Juan Jose Rubio, et al.
Pubblicazione: (2026)