Cover Image

Implicit assessment of language learning during practice as accurate as explicit testing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hou, Jue, Katinskaia, Anisia, Vu, Anh-Duc, Yangarber, Roman
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPT-3.5 for Grammatical Error Correction
by: Katinskaia, Anisia, et al.
Published: (2024)

Probing the Category of Verbal Aspect in Transformer Language Models
by: Katinskaia, Anisia, et al.
Published: (2024)

What do Transformers Know about Government?
by: Hou, Jue, et al.
Published: (2024)

An overview of artificial intelligence in computer-assisted language learning
by: Katinskaia, Anisia
Published: (2025)

Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025)

Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning
by: Godwin-Jones, Robert
Published: (2026)

DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
by: Wu, Yiheng, et al.
Published: (2024)

Cross-lingual Named Entity Corpus for Slavic Languages
by: Piskorski, Jakub, et al.
Published: (2024)

Redefining technology for indigenous languages
by: Fernandez-Sabido, Silvia, et al.
Published: (2025)

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs
by: Jaipersaud, Brandon, et al.
Published: (2024)

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
by: Sun, Lihao, et al.
Published: (2025)

Evaluating Implicit Biases in LLM Reasoning through Logic Grid Puzzles
by: Jahara, Fatima, et al.
Published: (2025)

Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
by: Wang, Yunzhe, et al.
Published: (2025)

Retrieval-augmented reasoning with lean language models
by: Chan, Ryan Sze-Yin, et al.
Published: (2025)

Do Chinese models speak Chinese languages?
by: Wen-Yi, Andrea W, et al.
Published: (2025)

Failure of contextual invariance in large language models
by: Kumar, Sagar, et al.
Published: (2026)

Large language models in medicine: the potentials and pitfalls
by: Omiye, Jesutofunmi A., et al.
Published: (2023)

What can large language models do for sustainable food?
by: Thomas, Anna T., et al.
Published: (2025)

HumT DumT: Measuring and controlling human-like language in LLMs
by: Cheng, Myra, et al.
Published: (2025)

How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
by: Guo, Ruohao, et al.
Published: (2025)

Developmental trajectories of decision making and affective dynamics in large language models
by: Wang, Zhihao, et al.
Published: (2025)

A survey on fairness of large language models in e-commerce: progress, application, and challenge
by: Ren, Qingyang, et al.
Published: (2024)

Training language models to be warm and empathetic makes them less reliable and more sycophantic
by: Ibrahim, Lujain, et al.
Published: (2025)

A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025)

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation
by: Hoang, Nhat M., et al.
Published: (2024)

Large language models can consistently generate high-quality content for election disinformation operations
by: Williams, Angus R., et al.
Published: (2024)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
by: Nghiem, Huy, et al.
Published: (2026)

Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment
by: Zhang, Jingshen, et al.
Published: (2024)

Using LLMs to identify features of personal and professional skills in an open-response situational judgment test
by: Walsh, Cole, et al.
Published: (2025)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration
by: Chen, Nuo, et al.
Published: (2025)

Reasoning Language Models for complex assessments tasks: Evaluating parental cooperation from child protection case reports
by: Stoll, Dragan, et al.
Published: (2026)

A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
by: Aljohani, Manar, et al.
Published: (2025)

Large language models accurately predict public perceptions of support for climate action worldwide
by: Powdthavee, Nattavudh, et al.
Published: (2026)

CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
by: Yu, Xiangning, et al.
Published: (2026)

A vibe coding learning design to enhance EFL students' talking to, through, and about AI
by: Woo, David James, et al.
Published: (2025)

Can adversarial attacks by large language models be attributed?
by: Cebrian, Manuel, et al.
Published: (2024)

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
by: Hicke, Yann, et al.
Published: (2025)

Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)

Identifying Implicit Social Biases in Vision-Language Models
by: Hamidieh, Kimia, et al.
Published: (2024)