:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pang, Jiayun, Zaitoun, Ahmed M., Cambeiro, Xacobe Couso, Vulić, Ivan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2602.10404
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2024)

Self-Augmented In-Context Learning for Unsupervised Word Translation
by: Li, Yaoyiran, et al.
Published: (2024)

Emergent Communication Pretraining for Few-Shot Machine Translation
by: Li, Yaoyiran, et al.
Published: (2020)

Agentic Policy Optimization via Instruction-Policy Co-Evolution
by: Zhou, Han, et al.
Published: (2025)

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023)

On Bilingual Lexicon Induction with Large Language Models
by: Li, Yaoyiran, et al.
Published: (2023)

Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)

Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
by: Frohmann, Markus, et al.
Published: (2024)

Large Language Models are Miscalibrated In-Context Learners
by: Li, Chengzu, et al.
Published: (2023)

Improving Word Translation via Two-Stage Contrastive Learning
by: Li, Yaoyiran, et al.
Published: (2022)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
by: Li, Yaoyiran, et al.
Published: (2022)

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
by: Lin, Xuan, et al.
Published: (2025)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
by: Liu, Yinhong, et al.
Published: (2024)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
by: Zhou, Han, et al.
Published: (2025)

Translation-Enhanced Multilingual Text-to-Image Generation
by: Li, Yaoyiran, et al.
Published: (2023)

Momentum Streams for Optimizer-Inspired Transformers
by: Gai, Jingchu, et al.
Published: (2026)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
by: Li, Yaoyiran, et al.
Published: (2024)

RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
by: Bondarenko, Ivan, et al.
Published: (2026)

Visual Planning: Let's Think Only with Images
by: Xu, Yi, et al.
Published: (2025)

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)

Clinical QA 2.0: Multi-Task Learning for Answer Extraction and Categorization
by: Pattnayak, Priyaranjan, et al.
Published: (2025)

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing
by: Neill, James O', et al.
Published: (2025)

OrchMoE: Efficient Multi-Adapter Learning with Task-Skill Synergy
by: Wang, Haowen, et al.
Published: (2024)

KV Cache Offloading for Context-Intensive Tasks
by: Bocharnikov, Andrey, et al.
Published: (2026)

ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
by: Zhu, Yinghao, et al.
Published: (2024)

Predicting Task Performance with Context-aware Scaling Laws
by: Montgomery, Kyle, et al.
Published: (2025)

Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection
by: Yang, Ziyu, et al.
Published: (2026)

MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning
by: Zhao, Lulu, et al.
Published: (2024)

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
by: Zhang, Juzheng, et al.
Published: (2025)

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
by: Yuan, Hongyi, et al.
Published: (2024)

BRIDGE: Predicting Human Task Completion Time From Model Performance
by: Liu, Fengyuan, et al.
Published: (2026)

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
by: Tsymbalov, Aleksandr, et al.
Published: (2025)

mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
by: Edwards, Carl, et al.
Published: (2025)

Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
by: Abdelaziz, Ibrahim, et al.
Published: (2024)

AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
by: Guo, Shouchang, et al.
Published: (2024)

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
by: Luo, Kairong, et al.
Published: (2025)