:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Jiaqi, Tang, Yixuan, Yang, Yi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2406.10099
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
by: Tang, Yixuan, et al.
Published: (2024)

PersonaFuse: A Personality Activation-Driven Framework for Enhancing Human-LLM Interactions
by: Tang, Yixuan, et al.
Published: (2025)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
by: Tang, Yixuan, et al.
Published: (2025)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
by: Tang, Yixuan, et al.
Published: (2025)

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
by: Tang, Yixuan, et al.
Published: (2026)

KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs
by: Tang, Yixuan, et al.
Published: (2026)

AI Research Agents Narrow Scientific Exploration
by: Tang, Yixuan, et al.
Published: (2026)

Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
by: Tang, Yixuan, et al.
Published: (2026)

Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty
by: Ren, Jingyi, et al.
Published: (2026)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
by: Tang, Yixuan, et al.
Published: (2024)

FinMTEB: Finance Massive Text Embedding Benchmark
by: Tang, Yixuan, et al.
Published: (2025)

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
by: Zhou, Hang, et al.
Published: (2024)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
by: Liu, Yilun, et al.
Published: (2023)

Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States
by: Duan, Hanyu, et al.
Published: (2024)

Importance-Aware Data Selection for Efficient LLM Instruction Tuning
by: Jiang, Tingyu, et al.
Published: (2025)

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
by: Zhao, Yang, et al.
Published: (2025)

A Survey on Data Selection for LLM Instruction Tuning
by: Zhang, Bolin, et al.
Published: (2024)

Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation
by: Han, Kyubeen, et al.
Published: (2025)

Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
by: Wu, Tianyi, et al.
Published: (2025)

Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty
by: Shi, Zeyu, et al.
Published: (2025)

MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
by: Li, Yangning, et al.
Published: (2025)

A Survey on Prompt Tuning
by: Li, Zongqian, et al.
Published: (2025)

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
by: Zhang, Yi-Kai, et al.
Published: (2025)

Fine-Tuning Language Models to Know What They Know
by: Park, Sangjun, et al.
Published: (2026)

Beyond Words: Multimodal LLM Knows When to Speak
by: Liao, Zikai, et al.
Published: (2025)

From Tags to Trees: Structuring Fine-Grained Knowledge for Controllable Data Selection in LLM Instruction Tuning
by: Niu, Zihan, et al.
Published: (2026)

LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning
by: Wang, Rongsheng, et al.
Published: (2024)

Instruction Tuning With Loss Over Instructions
by: Shi, Zhengyan, et al.
Published: (2024)

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
by: Li, Ming, et al.
Published: (2024)

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?
by: Mei, Zhiting, et al.
Published: (2025)

BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
by: Huang, Tianyuan, et al.
Published: (2025)

MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025)

R-Tuning: Instructing Large Language Models to Say `I Don't Know'
by: Zhang, Hanning, et al.
Published: (2023)

xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
by: Chai, Linzheng, et al.
Published: (2024)

Instruction Following without Instruction Tuning
by: Hewitt, John, et al.
Published: (2024)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
by: Wang, Yidong, et al.
Published: (2023)

Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions
by: Jing, Dong, et al.
Published: (2025)

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
by: Li, Ming, et al.
Published: (2023)