SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter
Fuente:
arXiv
Saved in:
| Main Authors: | Jung-Mok, Lee, Sung-Bin, Kim, Chang, Joohyun, Hyun, Lee, Oh, Tae-Hyun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models
by: Hyun, Lee, et al.
Published: (2023)
by: Hyun, Lee, et al.
Published: (2023)
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
by: Seong-Eun, Baek, et al.
Published: (2026)
by: Seong-Eun, Baek, et al.
Published: (2026)
FacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling
by: Sung-Bin, Kim, et al.
Published: (2025)
by: Sung-Bin, Kim, et al.
Published: (2025)
Automated Model Discovery via Multi-modal & Multi-step Pipeline
by: Jung-Mok, Lee, et al.
Published: (2025)
by: Jung-Mok, Lee, et al.
Published: (2025)
Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)
by: Kim, June-Woo, et al.
Published: (2025)
Explaining Large Language Models with gSMILE
by: Dehghani, Zeinab, et al.
Published: (2025)
by: Dehghani, Zeinab, et al.
Published: (2025)
CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law
by: Jung, JiHyeok, et al.
Published: (2026)
by: Jung, JiHyeok, et al.
Published: (2026)
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
by: Ishay, Adam, et al.
Published: (2025)
by: Ishay, Adam, et al.
Published: (2025)
mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval
by: Kim, Kyeong Seon, et al.
Published: (2026)
by: Kim, Kyeong Seon, et al.
Published: (2026)
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)
by: Baek, In-Chang, et al.
Published: (2025)
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)
by: Munkhbat, Tergel, et al.
Published: (2025)
Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
by: Kwack, TaeYoon, et al.
Published: (2025)
by: Kwack, TaeYoon, et al.
Published: (2025)
ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
by: Hardy, Romain, et al.
Published: (2024)
by: Hardy, Romain, et al.
Published: (2024)
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
by: Sung-Bin, Kim, et al.
Published: (2024)
by: Sung-Bin, Kim, et al.
Published: (2024)
Learning to Better Search with Language Models via Guided Reinforced Self-Training
by: Moon, Seungyong, et al.
Published: (2024)
by: Moon, Seungyong, et al.
Published: (2024)
OPSD Compresses What RLVR Teaches: A Post-RL Compaction Stage for Reasoning Models
by: Kim, Jaehoon, et al.
Published: (2026)
by: Kim, Jaehoon, et al.
Published: (2026)
Evalet: Evaluating Large Language Models through Functional Fragmentation
by: Kim, Tae Soo, et al.
Published: (2025)
by: Kim, Tae Soo, et al.
Published: (2025)
Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models
by: Qiu, Linlu, et al.
Published: (2025)
by: Qiu, Linlu, et al.
Published: (2025)
VLM's Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
by: Hyeon-Woo, Nam, et al.
Published: (2024)
by: Hyeon-Woo, Nam, et al.
Published: (2024)
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting
by: Kim, GeonU, et al.
Published: (2025)
by: Kim, GeonU, 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)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
by: Kim, Hyeonwoo, et al.
Published: (2024)
by: Kim, Hyeonwoo, et al.
Published: (2024)
Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies
by: Xiong, Tao, et al.
Published: (2025)
by: Xiong, Tao, et al.
Published: (2025)
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
by: Lee, Gihun, et al.
Published: (2024)
by: Lee, Gihun, et al.
Published: (2024)
Mentor-KD: Making Small Language Models Better Multi-step Reasoners
by: Lee, Hojae, et al.
Published: (2024)
by: Lee, Hojae, et al.
Published: (2024)
EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes
by: Bae, Kyunghoon, et al.
Published: (2025)
by: Bae, Kyunghoon, et al.
Published: (2025)
FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
by: Ko, Jeonghyun, et al.
Published: (2025)
by: Ko, Jeonghyun, et al.
Published: (2025)
MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation
by: Chen, Szu-Chi, et al.
Published: (2026)
by: Chen, Szu-Chi, et al.
Published: (2026)
EXAONE Deep: Reasoning Enhanced Language Models
by: Bae, Kyunghoon, et al.
Published: (2025)
by: Bae, Kyunghoon, et al.
Published: (2025)
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)
by: Kim, Kyeonghyun, et al.
Published: (2025)
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
by: Jo, Hwiyeol, et al.
Published: (2025)
by: Jo, Hwiyeol, et al.
Published: (2025)
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
by: Kweon, Sunjun, et al.
Published: (2023)
by: Kweon, Sunjun, et al.
Published: (2023)
Binary Classifier Optimization for Large Language Model Alignment
by: Jung, Seungjae, et al.
Published: (2024)
by: Jung, Seungjae, et al.
Published: (2024)
PILOT-Bench: A Benchmark for Legal Reasoning in the Patent Domain with IRAC-Aligned Classification Tasks
by: Jang, Yehoon, et al.
Published: (2026)
by: Jang, Yehoon, et al.
Published: (2026)
Mi:dm 2.0 Korea-centric Bilingual Language Models
by: Shin, Donghoon, et al.
Published: (2026)
by: Shin, Donghoon, et al.
Published: (2026)
Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)
by: Park, Cheonbok, et al.
Published: (2025)
Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection
by: Kim, Jun Seo, et al.
Published: (2025)
by: Kim, Jun Seo, et al.
Published: (2025)
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)
by: Lee, Jooyoung, et al.
Published: (2024)
Similar Items
-
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models
by: Hyun, Lee, et al.
Published: (2023) -
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
by: Seong-Eun, Baek, et al.
Published: (2026) -
FacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling
by: Sung-Bin, Kim, et al.
Published: (2025) -
Automated Model Discovery via Multi-modal & Multi-step Pipeline
by: Jung-Mok, Lee, et al.
Published: (2025) -
Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)