221 citations · 523 across the 43 of their papers we have counts for
44 papers · 1 filter
Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation
Noy Sternlicht, Ariel Gera, Roy Bar-Haim +2
We introduce Debate Speech Evaluation as a novel and challenging benchmark for assessing LLM judges. Evaluating debate speeches requires a deep understanding of the speech at multi…
Conversational Prompt Engineering
Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector +5
Prompts are how humans communicate with LLMs. Informative prompts are essential for guiding LLMs to produce the desired output. However, prompt engineering is often tedious and tim…
Efficient Benchmarking of Language Models
Yotam Perlitz, Elron Bandel, Ariel Gera +6
The increasing versatility of language models (LMs) has given rise to a new class of benchmarks that comprehensively assess a broad range of capabilities. Such benchmarks are assoc…
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
Ariel Gera, Roni Friedman, Ofir Arviv +4
Applying language models to natural language processing tasks typically relies on the representations in the final model layer, as intermediate hidden layer representations are pre…
Active Learning for Natural Language Generation
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer +3
The field of Natural Language Generation (NLG) suffers from a severe shortage of labeled data due to the extremely expensive and time-consuming process involved in manual annotatio…
SimpleStyle: An Adaptable Style Transfer Approach
Elron Bandel, Yoav Katz, Noam Slonim +1
Attribute-controlled text rewriting, also known as text style-transfer, has a crucial role in regulating attributes and biases of textual training data and a machine generated text…