Co-occurring keywords · papers mentioning both
Papers
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
CVPR 2026
Think in Sentences: Explicit Sentence Boundaries Enhance Language Model’s Capabilities
ACL 2026
Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals
AAAI 2026
Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs
ACL 2026
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
ACL 2026
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
ACL 2026
Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
ACL 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
AAAI 2026
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
ACL 2026
UNF-BMI at SemEval-2026 Task 3: Research Domain Criteria-Guided Large Language Models for Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
CVPR 2026
Unveiling Causal Calibration: How LLM Scale Influences Statistical Information Interpolation
CLeaR 2026
Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses
ACL 2026
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
UAI 2026
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
CVPR 2026
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective
ACL 2026
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
AAAI 2026
Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?
EACL 2026
YNU-HPCC at SemEval-2026 Task 1: Constraint-Aware In-Context Learning for Multilingual Humor Generation
SemEval 2026
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection
COLING 2025
Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches
EMNLP 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
NAACL 2025
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
ACL 2025
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
AAAI 2025