:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ghosh, Debanjan, Chan, Sophia
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.09314
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AlpaCare:Instruction-tuned Large Language Models for Medical Application
by: Zhang, Xinlu, et al.
Published: (2023)

Natural Language-based Assessment of L2 Oral Proficiency using LLMs
by: Bannò, Stefano, et al.
Published: (2025)

Classifying German Language Proficiency Levels Using Large Language Models
by: Ahlers, Elias-Leander, et al.
Published: (2025)

Instruction-tuned Language Models are Better Knowledge Learners
by: Jiang, Zhengbao, et al.
Published: (2024)

Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
by: Li, Guanlin, et al.
Published: (2025)

Airavata: Introducing Hindi Instruction-tuned LLM
by: Gala, Jay, et al.
Published: (2024)

Can Large Language Models Automatically Score Proficiency of Written Essays?
by: Mansour, Watheq, et al.
Published: (2024)

Automatic Detection of Inauthentic Templated Responses in English Language Assessments
by: Samant, Yashad, et al.
Published: (2025)

Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
by: Ranaldi, Leonardo, et al.
Published: (2023)

TimeSense:Making Large Language Models Proficient in Time-Series Analysis
by: Zhang, Zhirui, et al.
Published: (2025)

Reasoning Up the Instruction Ladder for Controllable Language Models
by: Zheng, Zishuo, et al.
Published: (2025)

Demystifying Instruction Mixing for Fine-tuning Large Language Models
by: Wang, Renxi, et al.
Published: (2023)

InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets
by: Kim, Yungi, et al.
Published: (2024)

AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models
by: Guggilla, Chinnappa, et al.
Published: (2025)

Integrating Linguistics and AI: Morphological Analysis and Corpus development of Endangered Toto Language of West Bengal
by: Guha, Ambalika, et al.
Published: (2025)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

Large Language Model-Driven Dynamic Assessment of Grammatical Accuracy in English Language Learner Writing
by: Jaganov, Timur, et al.
Published: (2025)

Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
by: Elguendouze, Sofiane, et al.
Published: (2026)

A Study of Backdoors in Instruction Fine-tuned Language Models
by: Raghuram, Jayaram, et al.
Published: (2024)

EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking Assessment Transcripts
by: Scaria, Nicy, et al.
Published: (2024)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
by: Bai, Yuelin, et al.
Published: (2024)

Non-instructional Fine-tuning: Enabling Instruction-Following Capabilities in Pre-trained Language Models without Instruction-Following Data
by: Xie, Juncheng, et al.
Published: (2024)

Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency
by: Shahriar, Sakib, et al.
Published: (2024)

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems
by: Siddique, Oshayer, et al.
Published: (2025)

Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
by: Lee, Seonghyeon, et al.
Published: (2024)

GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data
by: Skiredj, Abderrahman, et al.
Published: (2025)

Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark
by: Mercorio, Fabio, et al.
Published: (2024)

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
by: Masry, Ahmed, et al.
Published: (2024)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)

PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency
by: Elements, Preferred, et al.
Published: (2024)

MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages
by: Whitehouse, Chenxi, et al.
Published: (2025)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning
by: Pan, Jing, et al.
Published: (2023)

Federated Co-tuning Framework for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

Sensitivity of Small Language Models to Fine-tuning Data Contamination
by: Scaria, Nicy, et al.
Published: (2025)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)

The Roles of English in Evaluating Multilingual Language Models
by: Poelman, Wessel, et al.
Published: (2024)

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions
by: Li, Chong, et al.
Published: (2024)

Advantages of Domain Knowledge Injection for Legal Document Summarization: A Case Study on Summarizing Indian Court Judgments in English and Hindi
by: Datta, Debtanu, et al.
Published: (2026)

A Closer Look at the Limitations of Instruction Tuning
by: Ghosh, Sreyan, et al.
Published: (2024)