Cover Image

From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Chuang, Zhang, Wei, Tao, Renshuai, Zhang, Xinhao, Yang, Jian
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProgressGym: Alignment with a Millennium of Moral Progress
by: Qiu, Tianyi, et al.
Published: (2024)

Automatic Macro Mining from Interaction Traces at Scale
by: Huang, Forrest, et al.
Published: (2023)

UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models
by: Guo, Jiayi, et al.
Published: (2024)

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
by: Gebreegziabher, Simret Araya, et al.
Published: (2024)

Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System Card
by: Peiris, Hiranya V.
Published: (2026)

Human-LLM Collaborative Feature Engineering for Tabular Data
by: Li, Zhuoyan, et al.
Published: (2026)

Revisiting Active Learning under (Human) Label Variation
by: Gruber, Cornelia, et al.
Published: (2025)

Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
by: Lin, Kate, et al.
Published: (2024)

Automated Explanation of Machine Learning Models of Footballing Actions in Words
by: Rahimian, Pegah, et al.
Published: (2025)

ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
by: Lin, Wenjie, et al.
Published: (2025)

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
by: Miao, Ziyang, et al.
Published: (2025)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
by: Cui, Yiming, et al.
Published: (2023)

Sequential Decision-Making for Inline Text Autocomplete
by: Chitnis, Rohan, et al.
Published: (2024)

Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
by: Zhang, Lechen, et al.
Published: (2025)

Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch
by: Shukla, Prarabdh, et al.
Published: (2025)

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
by: Feng, Kehua, et al.
Published: (2024)

Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
by: Zhang, Bowen, et al.
Published: (2023)

Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
by: Chaszczewicz, Alicja, et al.
Published: (2024)

Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent Applications
by: Dong, Wenhan, et al.
Published: (2025)

"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
by: Wu, Yang, et al.
Published: (2026)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
by: Wang, Xiaohan, et al.
Published: (2024)

MEGnifying Emotion: Sentiment Analysis from Annotated Brain Data
by: Liu, Brian, et al.
Published: (2026)

Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech
by: Withanage, Thanushi, et al.
Published: (2026)

A Framework for Evaluating LLMs Under Task Indeterminacy
by: Guerdan, Luke, et al.
Published: (2024)

SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations
by: Khanna, Danush, et al.
Published: (2025)

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
by: Mathur, Leena, et al.
Published: (2024)

Self-reflecting Large Language Models: A Hegelian Dialectical Approach
by: Abdali, Sara, et al.
Published: (2025)

'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants
by: Kapania, Shivani, et al.
Published: (2024)

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets
by: Jin, Zhihua, et al.
Published: (2024)

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses
by: Pyreddy, Shireesh Reddy, et al.
Published: (2025)

Depression detection from Social Media Bangla Text Using Recurrent Neural Networks
by: Ahmed, Sultan, et al.
Published: (2024)

Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
by: Chen, John, et al.
Published: (2025)

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
by: Yeh, Catherine, et al.
Published: (2024)

Story Ribbons: Reimagining Storyline Visualizations with Large Language Models
by: Yeh, Catherine, et al.
Published: (2025)

Training AI Co-Scientists Using Rubric Rewards
by: Goel, Shashwat, et al.
Published: (2025)

What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
by: Hedderich, Michael A., et al.
Published: (2025)

A Reproducible Framework for Neural Topic Modeling in Focus Group Analysis
by: Arfaoui, Heger, et al.
Published: (2025)

ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classification
by: Masry, Mohamed, et al.
Published: (2025)

Love First, Know Later: Persona-Based Romantic Compatibility Through LLM Text World Engines
by: Shang, Haoyang, et al.
Published: (2025)

K-QA: A Real-World Medical Q&A Benchmark
by: Manes, Itay, et al.
Published: (2024)