Co-occurring keywords · papers mentioning both
Papers
The Mystery of the Pathological Path-star Task for Language Models
EMNLP 2024
The Parallel Corpus of Russian and Ruska Romani Languages
ACL 2024
The Semantic Relations in LLMs: An Information-theoretic Compression Approach
COLING 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
ACL 2024
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations
EMNLP 2024
Think before you speak: Training Language Models With Pause Tokens
ICLR 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
EMNLP 2024
This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes
NAACL 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
NeurIPS 2024
Time is Encoded in the Weights of Finetuned Language Models
ACL 2024
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
EMNLP 2024
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
ACL 2024
To Clarify or not to Clarify: A Comparative Analysis of Clarification Classification with Fine-Tuning, Prompt Tuning, and Prompt Engineering
NAACL 2024
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese
COLING 2024
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
EMNLP 2024
Tokenization Is More Than Compression
EMNLP 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
ACL 2024
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
EMNLP 2024
TOOLVERIFIER: Generalization to New Tools via Self-Verification
EMNLP 2024
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
ICLR 2024
Toucan: Many-to-Many Translation for 150 African Language Pairs
ACL 2024
Towards Aligning Language Models with Textual Feedback
EMNLP 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NeurIPS 2024
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
ICLR 2024
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
EMNLP 2024