Saved in:
| Main Authors: | Kang, Junyong, Son, Donghyun, Song, Hwanjun, Chang, Buru |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.19581 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
by: Song, Hwanjun
Published: (2026)
by: Song, Hwanjun
Published: (2026)
SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script
by: Kim, Eunwon, et al.
Published: (2024)
by: Kim, Eunwon, et al.
Published: (2024)
HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing
by: Kim, Euntae, et al.
Published: (2026)
by: Kim, Euntae, et al.
Published: (2026)
LLM-based User Profile Management for Recommender System
by: Bang, Seunghwan, et al.
Published: (2025)
by: Bang, Seunghwan, et al.
Published: (2025)
Alignment Data Map for Efficient Preference Data Selection and Diagnosis
by: Lee, Seohyeong, et al.
Published: (2025)
by: Lee, Seohyeong, et al.
Published: (2025)
Exploring the Robustness of In-Context Learning with Noisy Labels
by: Cheng, Chen, et al.
Published: (2024)
by: Cheng, Chen, et al.
Published: (2024)
Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
by: Song, Hwanjun, et al.
Published: (2025)
by: Song, Hwanjun, et al.
Published: (2025)
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
by: Han, Donghee, et al.
Published: (2025)
by: Han, Donghee, et al.
Published: (2025)
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
by: Kim, Jieyong, et al.
Published: (2024)
by: Kim, Jieyong, et al.
Published: (2024)
EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models
by: Cheong, Minsoo, et al.
Published: (2026)
by: Cheong, Minsoo, et al.
Published: (2026)
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
by: Kim, Minchan, et al.
Published: (2024)
by: Kim, Minchan, et al.
Published: (2024)
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
by: Oh, Jihwan, et al.
Published: (2024)
by: Oh, Jihwan, et al.
Published: (2024)
UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs
by: Lee, Yuho, et al.
Published: (2024)
by: Lee, Yuho, et al.
Published: (2024)
FineSurE: Fine-grained Summarization Evaluation using LLMs
by: Song, Hwanjun, et al.
Published: (2024)
by: Song, Hwanjun, et al.
Published: (2024)
Learning to Summarize from LLM-generated Feedback
by: Song, Hwanjun, et al.
Published: (2024)
by: Song, Hwanjun, et al.
Published: (2024)
Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language
by: Lee, Seungbeen, et al.
Published: (2025)
by: Lee, Seungbeen, et al.
Published: (2025)
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts
by: Deng, Jiaqi, et al.
Published: (2025)
by: Deng, Jiaqi, et al.
Published: (2025)
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
by: Kim, Youna, et al.
Published: (2024)
by: Kim, Youna, et al.
Published: (2024)
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
by: Heck, Michael, et al.
Published: (2024)
by: Heck, Michael, et al.
Published: (2024)
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
by: He, Jianfeng, et al.
Published: (2024)
by: He, Jianfeng, et al.
Published: (2024)
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
by: Zhang, Yuwei, et al.
Published: (2024)
by: Zhang, Yuwei, et al.
Published: (2024)
Label Words as Local Task Vectors in In-Context Learning
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
Dual Debiasing for Noisy In-Context Learning for Text Generation
by: Liang, Siqi, et al.
Published: (2025)
by: Liang, Siqi, et al.
Published: (2025)
In-Context Learning for Extreme Multi-Label Classification
by: D'Oosterlinck, Karel, et al.
Published: (2024)
by: D'Oosterlinck, Karel, et al.
Published: (2024)
What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents
by: Choi, Jeonghwan, et al.
Published: (2026)
by: Choi, Jeonghwan, et al.
Published: (2026)
ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback
by: Yun, Taewon, et al.
Published: (2025)
by: Yun, Taewon, et al.
Published: (2025)
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
by: Peng, Keqin, et al.
Published: (2025)
by: Peng, Keqin, et al.
Published: (2025)
Detecting and Rectifying Noisy Labels: A Similarity-based Approach
by: Huu-Tien, Dang, et al.
Published: (2025)
by: Huu-Tien, Dang, et al.
Published: (2025)
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
by: Yuan, Bo, et al.
Published: (2025)
by: Yuan, Bo, et al.
Published: (2025)
The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason
by: Lv, Ang, et al.
Published: (2025)
by: Lv, Ang, et al.
Published: (2025)
In-Context Learning Learns Label Relationships but Is Not Conventional Learning
by: Kossen, Jannik, et al.
Published: (2023)
by: Kossen, Jannik, et al.
Published: (2023)
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
by: Kim, Doyoung, et al.
Published: (2025)
by: Kim, Doyoung, et al.
Published: (2025)
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement
by: Shtok, Joseph, et al.
Published: (2024)
by: Shtok, Joseph, et al.
Published: (2024)
Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
by: Li, Yanran
Published: (2026)
by: Li, Yanran
Published: (2026)
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
by: Park, Kwanyong, et al.
Published: (2024)
by: Park, Kwanyong, et al.
Published: (2024)
ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving
by: Abedin, Zain Ul, et al.
Published: (2025)
by: Abedin, Zain Ul, et al.
Published: (2025)
In-Context Example Ordering Guided by Label Distributions
by: Xu, Zhichao, et al.
Published: (2024)
by: Xu, Zhichao, et al.
Published: (2024)
A Global Context Mechanism for Sequence Labeling
by: Xu, Conglei, et al.
Published: (2023)
by: Xu, Conglei, et al.
Published: (2023)
Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context
by: Choi, Dasol, et al.
Published: (2025)
by: Choi, Dasol, et al.
Published: (2025)
Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks
by: Ban, Minjeong, et al.
Published: (2026)
by: Ban, Minjeong, et al.
Published: (2026)
Similar Items
-
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
by: Song, Hwanjun
Published: (2026) -
SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script
by: Kim, Eunwon, et al.
Published: (2024) -
HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing
by: Kim, Euntae, et al.
Published: (2026) -
LLM-based User Profile Management for Recommender System
by: Bang, Seunghwan, et al.
Published: (2025) -
Alignment Data Map for Efficient Preference Data Selection and Diagnosis
by: Lee, Seohyeong, et al.
Published: (2025)