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Large Language Models

9,067 papers

Papers per year

Papers

Counterfactual Memorization in Neural Language Models NIPS 2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model NIPS 2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models NIPS 2023
Focused Transformer: Contrastive Training for Context Scaling NIPS 2023
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. NIPS 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models NIPS 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NIPS 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks NIPS 2023
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing NIPS 2023
Evaluating the Moral Beliefs Encoded in LLMs NIPS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NIPS 2023
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset NIPS 2023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification NIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NIPS 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models NIPS 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations NIPS 2023
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks NIPS 2023
Are aligned neural networks adversarially aligned? NIPS 2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks NIPS 2023
BERT Lost Patience Won't Be Robust to Adversarial Slowdown NIPS 2023
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations NIPS 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models NIPS 2023
Meta-in-context learning in large language models NIPS 2023
Post Hoc Explanations of Language Models Can Improve Language Models NIPS 2023