Search Results for author:
Found 5 papers, 3 papers with code
Generating Benchmarks for Factuality Evaluation of Language Models
FACTOR automatically transforms a factual corpus of interest into a benchmark evaluating an LM's propensity to generate true facts from the corpus vs. similar but incorrect statements.
In-Context Retrieval-Augmented Language Models
Retrieval-Augmented Language Modeling (RALM) methods, which condition a language model (LM) on relevant documents from a grounding corpus during generation, were shown to significantly improve language modeling performance.
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
Huge language models (LMs) have ushered in a new era for AI, serving as a gateway to natural-language-based knowledge tasks.
Standing on the Shoulders of Giant Frozen Language Models
To demonstrate this, we introduce three novel methods for leveraging frozen models: input-dependent prompt tuning, frozen readers, and recursive LMs, each of which vastly improves on current frozen-model approaches.
Value-based Search in Execution Space for Mapping Instructions to Programs
Training models to map natural language instructions to programs given target world supervision only requires searching for good programs at training time.
