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

Utilizing an Ensemble Model with Anomalous Label Smoothing to Detect Generated Scientific Papers ACL 2024
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? ACL 2024
L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream CVPR 2024
L-MAGIC: Language Model Assisted Generation of Images with Coherence CVPR 2024
Describing Differences in Image Sets with Natural Language CVPR 2024
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP EMNLP 2024
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions EMNLP 2024
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation EMNLP 2024
MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications EMNLP 2024
Instruction-Driven Game Engine: A Poker Case Study EMNLP 2024
LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation EMNLP 2024
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency EMNLP 2024
Divide and Conquer: Legal Concept-guided Criminal Court View Generation EMNLP 2024
Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens EMNLP 2024
TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024
SedarEval: Automated Evaluation using Self-Adaptive Rubrics EMNLP 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models EMNLP 2024
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024
Stochastic Fine-Tuning of Language Models Using Masked Gradients EMNLP 2024
On the alignment of LM language generation and human language comprehension EMNLP 2024
Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models EMNLP 2024
Mechanistic? EMNLP 2024
The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading EMNLP 2024
Fast Evidence Extraction for Grounded Language Model Outputs EMNLP 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024