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

Language-to-Code Translation with a Single Labeled Example EMNLP 2024
Birdie: Advancing State Space Language Modeling with Dynamic Mixtures of Training Objectives EMNLP 2024
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction EMNLP 2024
Can Transformers Learn n-gram Language Models? EMNLP 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models EMNLP 2024
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood EMNLP 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024
Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs EMNLP 2024
The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024
Why Does New Knowledge Create Messy Ripple Effects in LLMs? EMNLP 2024
Lifelong Event Detection via Optimal Transport EMNLP 2024
Exploring the Practicality of Generative Retrieval on Dynamic Corpora EMNLP 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning EMNLP 2024
RaTEScore: A Metric for Radiology Report Generation EMNLP 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024
Scaling Laws for Linear Complexity Language Models EMNLP 2024
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy EMNLP 2024
On the Proper Treatment of Tokenization in Psycholinguistics EMNLP 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models EMNLP 2024
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation EMNLP 2024