Co-occurring keywords · papers mentioning both
Papers
Understanding Task Representations in Neural Networks via Bayesian Ablation
CLeaR 2026
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
NAACL 2025
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
Constrained Style Learning from Imperfect Demonstrations under Task Optimality
CoRL 2025
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models
IJCNLP 2025
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
EMNLP 2025
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
ACL 2025
Predicting Emergent Abilities with Infinite Resolution Evaluation
ICLR 2024
Pre-emptive Action Revision by Environmental Feedback for Embodied Instruction Following Agents
CoRL 2024
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
EMNLP 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales
ACL 2023
How Many Data Samples is an Additional Instruction Worth?
EACL 2023
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
NeurIPS 2022
Enabling Fast Instruction-Based Modification of Learned Robot Skills
AAAI 2021
Influence of user personality on dialogue task performance: A case study using a rule-based dialogue system
EMNLP 2021
Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance
ACL 2017