Cover Image

Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Mingyang, Sun, Haoze, Li, Tianpeng, Yang, Fan, Liang, Hao, Lu, Keer, Cui, Bin, Zhang, Wentao, Zhou, Zenan, Chen, Weipeng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
by: Lu, Keer, et al.
Published: (2024)

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
by: Chen, Mingyang, et al.
Published: (2025)

FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
by: Li, Youquan, et al.
Published: (2024)

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs
by: Lu, Keer, et al.
Published: (2024)

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
by: Sun, Linzhuang, et al.
Published: (2025)

MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
by: Liang, Hao, et al.
Published: (2024)

CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
by: Zhang, Tao, et al.
Published: (2024)

PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
by: Zheng, Miao, et al.
Published: (2024)

SysBench: Can Large Language Models Follow System Messages?
by: Qin, Yanzhao, et al.
Published: (2024)

PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)

S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models
by: Fang, Yuanbo, et al.
Published: (2025)

Baichuan Alignment Technical Report
by: Lin, Mingan, et al.
Published: (2024)

Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration
by: Sun, Linzhuang, et al.
Published: (2025)

Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction
by: Li, Tianpeng, et al.
Published: (2025)

Data Selection for Multi-turn Dialogue Instruction Tuning
by: Li, Bo, et al.
Published: (2026)

Data Proportion Detection for Optimized Data Management for Large Language Models
by: Liang, Hao, et al.
Published: (2024)

Tool Calling for Arabic LLMs: Data Strategies and Instruction Tuning
by: Ersoy, Asim, et al.
Published: (2025)

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
by: Dong, Guosheng, et al.
Published: (2024)

TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
by: Wang, Yunxiao, et al.
Published: (2025)

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)

Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
by: He, Junwen, et al.
Published: (2024)

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
by: Fan, Zhiting, et al.
Published: (2024)

Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations
by: Mao, Manqing, et al.
Published: (2024)

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
by: Li, Ming, et al.
Published: (2024)

A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
by: Tan, Andong, et al.
Published: (2026)

Instruction Tuning-free Visual Token Complement for Multimodal LLMs
by: Wang, Dongsheng, et al.
Published: (2024)

FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis
by: Wong, Zhen Hao, et al.
Published: (2025)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)

Baichuan-Omni Technical Report
by: Li, Yadong, et al.
Published: (2024)

Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine
by: Lu, Keer, et al.
Published: (2025)

Jailbreak Instruction-Tuned LLMs via end-of-sentence MLP Re-weighting
by: Luo, Yifan, et al.
Published: (2024)

Streaming Video Instruction Tuning
by: Xia, Jiaer, et al.
Published: (2025)

ProDS: Preference-oriented Data Selection for Instruction Tuning
by: Guo, Wenya, et al.
Published: (2025)

BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
by: Sun, Linzhuang, et al.
Published: (2024)

Call for Rigor in Reporting Quality of Instruction Tuning Data
by: Moon, Hyeonseok, et al.
Published: (2025)

DARO: Difficulty-Aware Reweighting Policy Optimization
by: Zhou, Jingyu, et al.
Published: (2025)

Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue
by: Lin, Xingyao, et al.
Published: (2025)

MANTA: Multi-turn Assessment for Nonhuman Thinking & Alignment
by: Lu, Allen, et al.
Published: (2026)

SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
by: Li, Ming, et al.
Published: (2025)

Contrastive Instruction Tuning
by: Yan, Tianyi Lorena, et al.
Published: (2024)