conftrace_

language model

4599 papers

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Also known as

LMS LM

Co-occurring keywords

large language model (13587) text generation (2913) text classification (6793) transfer learning (5449) question answering (2963) representation learning (6206) knowledge distillation (3725) pre-trained language model (1515) few-shot learning (3398) zero-shot learning (3650)

Papers

Experiments in Multi-Variant Natural Language Processing for Nahuatl NAACL 2024
Learning to Rank in Generative Retrieval AAAI 2024
FLAME: A Small Language Model for Spreadsheet Formulas AAAI 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation AAAI 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts AAAI 2024
Prompts have evil twins EMNLP 2024
“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs EMNLP 2024
Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024
Tokenization Is More Than Compression EMNLP 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024
CMD: a framework for Context-aware Model self-Detoxification EMNLP 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models EMNLP 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records EMNLP 2024
Modeling Nonnative Sentence Processing with L2 Language Models EMNLP 2024
Academics Can Contribute to Domain-Specialized Language Models EMNLP 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing EMNLP 2024
Learning to Extract Structured Entities Using Language Models EMNLP 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024