LBC: Language-Based-Classifier for Out-Of-Variable Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Noh, Kangjun, Seong, Baekryun, Byun, Hoyoon, Choi, Youngjun, Song, Sungjin, Song, Kyungwoo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
by: Byun, Hoyoon, et al.
Published: (2025)
by: Byun, Hoyoon, et al.
Published: (2025)
MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025)
by: Kim, Taero, et al.
Published: (2025)
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
by: Lee, Heeyoung, et al.
Published: (2024)
by: Lee, Heeyoung, et al.
Published: (2024)
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
by: Noh, Kangjun, et al.
Published: (2026)
by: Noh, Kangjun, et al.
Published: (2026)
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)
by: Choi, Youngjun, et al.
Published: (2025)
Uncertainty-driven Embedding Convolution
by: Lim, Sungjun, et al.
Published: (2025)
by: Lim, Sungjun, et al.
Published: (2025)
APCE: Adaptive Progressive Context Expansion for Long Context Processing
by: Lee, Baisub, et al.
Published: (2025)
by: Lee, Baisub, et al.
Published: (2025)
Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
by: Song, Hwanjun, et al.
Published: (2025)
by: Song, Hwanjun, et al.
Published: (2025)
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
by: Jung, Haeji, et al.
Published: (2024)
by: Jung, Haeji, et al.
Published: (2024)
Towards Efficient Formal Verification of Spiking Neural Network
by: Seong, Baekryun, et al.
Published: (2024)
by: Seong, Baekryun, et al.
Published: (2024)
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
by: Ye, Haoran, et al.
Published: (2024)
by: Ye, Haoran, et al.
Published: (2024)
FENCE: A Financial and Multimodal Jailbreak Detection Dataset
by: Kim, Mirae, et al.
Published: (2026)
by: Kim, Mirae, et al.
Published: (2026)
From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems
by: Jang, Youngjoon, et al.
Published: (2025)
by: Jang, Youngjoon, et al.
Published: (2025)
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models
by: Na, Injae, et al.
Published: (2025)
by: Na, Injae, et al.
Published: (2025)
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
by: Park, Seong-Il, et al.
Published: (2024)
by: Park, Seong-Il, et al.
Published: (2024)
Making Language Model a Hierarchical Classifier
by: Wang, Yihong, et al.
Published: (2025)
by: Wang, Yihong, et al.
Published: (2025)
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
by: Choi, Juhwan, et al.
Published: (2024)
by: Choi, Juhwan, et al.
Published: (2024)
Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)
by: Song, Chaehee, et al.
Published: (2026)
Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation
by: Shin, Jisu, et al.
Published: (2025)
by: Shin, Jisu, et al.
Published: (2025)
Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models
by: Song, Sangmin, et al.
Published: (2025)
by: Song, Sangmin, et al.
Published: (2025)
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
by: Xu, Hao, et al.
Published: (2026)
by: Xu, Hao, et al.
Published: (2026)
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions
by: Song, Shezheng
Published: (2024)
by: Song, Shezheng
Published: (2024)
Classifying German Language Proficiency Levels Using Large Language Models
by: Ahlers, Elias-Leander, et al.
Published: (2025)
by: Ahlers, Elias-Leander, et al.
Published: (2025)
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
by: Byun, Grace, et al.
Published: (2025)
by: Byun, Grace, et al.
Published: (2025)
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
by: Song, Hwanjun
Published: (2026)
by: Song, Hwanjun
Published: (2026)
Chip-Tuning: Classify Before Language Models Say
by: Zhu, Fangwei, et al.
Published: (2024)
by: Zhu, Fangwei, et al.
Published: (2024)
Building Efficient Universal Classifiers with Natural Language Inference
by: Laurer, Moritz, et al.
Published: (2023)
by: Laurer, Moritz, et al.
Published: (2023)
It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers
by: Clavié, Benjamin, et al.
Published: (2025)
by: Clavié, Benjamin, et al.
Published: (2025)
Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
by: Ma, Yuxi, et al.
Published: (2023)
by: Ma, Yuxi, et al.
Published: (2023)
Classifying Human-Generated and AI-Generated Election Claims in Social Media
by: Dmonte, Alphaeus, et al.
Published: (2024)
by: Dmonte, Alphaeus, et al.
Published: (2024)
A Generative Adversarial Attack for Multilingual Text Classifiers
by: Roth, Tom, et al.
Published: (2024)
by: Roth, Tom, et al.
Published: (2024)
Pair-In, Pair-Out: Latent Multi-Token Prediction for Efficient LLMs
by: Tan, Wenhui, et al.
Published: (2026)
by: Tan, Wenhui, et al.
Published: (2026)
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
by: Choi, Dasol, et al.
Published: (2025)
by: Choi, Dasol, et al.
Published: (2025)
Language Models Fail to Introspect About Their Knowledge of Language
by: Song, Siyuan, et al.
Published: (2025)
by: Song, Siyuan, et al.
Published: (2025)
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
by: Nasuto, Andrea, et al.
Published: (2025)
by: Nasuto, Andrea, et al.
Published: (2025)
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
by: Song, Jiajun, et al.
Published: (2024)
by: Song, Jiajun, et al.
Published: (2024)
MENTOR: A Reinforcement Learning Framework for Enabling Tool Use in Small Models via Teacher-Optimized Rewards
by: Choi, ChangSu, et al.
Published: (2025)
by: Choi, ChangSu, et al.
Published: (2025)
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability
by: Lu, Jinwei, et al.
Published: (2024)
by: Lu, Jinwei, et al.
Published: (2024)
Classifying Cancer Stage with Open-Source Clinical Large Language Models
by: Chang, Chia-Hsuan, et al.
Published: (2024)
by: Chang, Chia-Hsuan, et al.
Published: (2024)
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases
by: Asiedu, Mercy, et al.
Published: (2024)
by: Asiedu, Mercy, et al.
Published: (2024)
Similar Items
-
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language Models
by: Byun, Hoyoon, et al.
Published: (2025) -
MIDUS: Memory-Infused Depth Up-Scaling
by: Kim, Taero, et al.
Published: (2025) -
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
by: Lee, Heeyoung, et al.
Published: (2024) -
Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses
by: Noh, Kangjun, et al.
Published: (2026) -
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)