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

Finding Transformer Circuits With Edge Pruning NIPS 2024
CiteME: Can Language Models Accurately Cite Scientific Claims? NIPS 2024
SciCode: A Research Coding Benchmark Curated by Scientists NIPS 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant NIPS 2024
Grammar-Aligned Decoding NIPS 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D NIPS 2024
Selective Generation for Controllable Language Models NIPS 2024
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning NIPS 2024
ReFT: Representation Finetuning for Language Models NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
Reasons and Solutions for the Decline in Model Performance after Editing NIPS 2024
TableRAG: Million-Token Table Understanding with Language Models NIPS 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Multi-Head Mixture-of-Experts NIPS 2024
Enabling Tensor Language Model to Assist in Generating High-Performance Tensor Programs for Deep Learning OSDI 2024
Investigating large language models for their competence in extracting grammatically sound sentences from transcribed noisy utterances CONLL 2024
Transformer verbatim in-context retrieval across time and scale CONLL 2024
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches For Language Models CONLL 2024
Causal ATE Mitigates Unintended Bias in Controlled Text Generation CONLL 2024
The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading CONLL 2024
Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution CONLL 2024
A surprisal oracle for when every layer counts CONLL 2024
BabyLM Challenge: Exploring the effect of variation sets on language model training efficiency CONLL 2024