When Do "More Contexts" Help with Sarcasm Recognition?
Fuente:
arXiv
Saved in:
| Main Authors: | Nimase, Ojas, Hong, Sanghyun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2024)
by: Qin, Zhenkai, et al.
Published: (2024)
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
by: Nimase, Ojas, et al.
Published: (2026)
by: Nimase, Ojas, et al.
Published: (2026)
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
by: Zhou, Jingxuan, et al.
Published: (2025)
by: Zhou, Jingxuan, et al.
Published: (2025)
On Sarcasm Detection with OpenAI GPT-based Models
by: Gole, Montgomery, et al.
Published: (2023)
by: Gole, Montgomery, et al.
Published: (2023)
Sarcasm Detection in Tweets with BERT and GloVe Embeddings
by: Khatri, Akshay, et al.
Published: (2020)
by: Khatri, Akshay, et al.
Published: (2020)
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
by: Agostinelli, Victor, et al.
Published: (2024)
by: Agostinelli, Victor, et al.
Published: (2024)
Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
by: Karmaker, Subrata
Published: (2025)
by: Karmaker, Subrata
Published: (2025)
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
by: Zheng, Mingqian, et al.
Published: (2023)
by: Zheng, Mingqian, et al.
Published: (2023)
Transfer Learning via Lexical Relatedness: A Sarcasm and Hate Speech Case Study
by: Cabrera, Angelly, et al.
Published: (2025)
by: Cabrera, Angelly, et al.
Published: (2025)
On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis
by: Bhargava, Naman, et al.
Published: (2025)
by: Bhargava, Naman, et al.
Published: (2025)
MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in Video-LMs for Multimodal Sarcasm Detection
by: Saha, Anisha, et al.
Published: (2025)
by: Saha, Anisha, et al.
Published: (2025)
When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer
by: Verma, Lucky
Published: (2026)
by: Verma, Lucky
Published: (2026)
LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo
by: Jain, Ojas, et al.
Published: (2026)
by: Jain, Ojas, et al.
Published: (2026)
Effective Context Modeling Framework for Emotion Recognition in Conversations
by: Van, Cuong Tran, et al.
Published: (2024)
by: Van, Cuong Tran, et al.
Published: (2024)
Learning When to Attend: Conditional Memory Access for Long-Context LLMs
by: Choudhary, Sakshi, et al.
Published: (2026)
by: Choudhary, Sakshi, et al.
Published: (2026)
Context-Free Recognition with Transformers
by: Jerad, Selim, et al.
Published: (2026)
by: Jerad, Selim, et al.
Published: (2026)
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
by: Petrov, Aleksandar, et al.
Published: (2023)
by: Petrov, Aleksandar, et al.
Published: (2023)
When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions
by: Xia, Wei, et al.
Published: (2026)
by: Xia, Wei, et al.
Published: (2026)
Context Biasing for Pronunciation-Orthography Mismatch in Automatic Speech Recognition
by: Huber, Christian, et al.
Published: (2025)
by: Huber, Christian, et al.
Published: (2025)
When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)
by: Wu, Yuyang, et al.
Published: (2025)
What Do Language Models Learn in Context? The Structured Task Hypothesis
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
by: Wibisono, Kevin Christian, et al.
Published: (2024)
by: Wibisono, Kevin Christian, et al.
Published: (2024)
Sarcasm Detection in a Less-Resourced Language
by: Đoković, Lazar, et al.
Published: (2024)
by: Đoković, Lazar, et al.
Published: (2024)
When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework
by: Xu, Zhen, et al.
Published: (2025)
by: Xu, Zhen, et al.
Published: (2025)
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
by: McGovern, Hope, et al.
Published: (2026)
by: McGovern, Hope, et al.
Published: (2026)
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
by: Wang, Xiaolei, et al.
Published: (2024)
by: Wang, Xiaolei, et al.
Published: (2024)
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
by: Higuchi, Rei, et al.
Published: (2025)
by: Higuchi, Rei, et al.
Published: (2025)
Do pretrained Transformers Learn In-Context by Gradient Descent?
by: Shen, Lingfeng, et al.
Published: (2023)
by: Shen, Lingfeng, et al.
Published: (2023)
Multi-Response Preference Optimization with Augmented Ranking Dataset
by: Gwon, Hansle, et al.
Published: (2024)
by: Gwon, Hansle, et al.
Published: (2024)
More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing
by: Ma, Xin, et al.
Published: (2026)
by: Ma, Xin, et al.
Published: (2026)
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
by: Jeong, Soyeong, et al.
Published: (2025)
by: Jeong, Soyeong, et al.
Published: (2025)
Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling
by: Xia, Fanzeng, et al.
Published: (2025)
by: Xia, Fanzeng, et al.
Published: (2025)
HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
by: Zhang, Xiaoqing, et al.
Published: (2025)
by: Zhang, Xiaoqing, et al.
Published: (2025)
Beyond Long Context: When Semantics Matter More than Tokens
by: Chawdhury, Tarun Kumar, et al.
Published: (2025)
by: Chawdhury, Tarun Kumar, et al.
Published: (2025)
Mimetic Initialization Helps State Space Models Learn to Recall
by: Trockman, Asher, et al.
Published: (2024)
by: Trockman, Asher, et al.
Published: (2024)
Safety Training Persists Through Helpfulness Optimization in LLM Agents
by: Plaut, Benjamin
Published: (2026)
by: Plaut, Benjamin
Published: (2026)
When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents
by: Hadeliya, Tsimur, et al.
Published: (2025)
by: Hadeliya, Tsimur, et al.
Published: (2025)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
by: Liu, Sheng, et al.
Published: (2023)
by: Liu, Sheng, et al.
Published: (2023)
Similar Items
-
An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2024) -
Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
by: Nimase, Ojas, et al.
Published: (2026) -
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
by: Zhou, Jingxuan, et al.
Published: (2025) -
On Sarcasm Detection with OpenAI GPT-based Models
by: Gole, Montgomery, et al.
Published: (2023) -
Sarcasm Detection in Tweets with BERT and GloVe Embeddings
by: Khatri, Akshay, et al.
Published: (2020)