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cs.CL2024
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
Large Language Models (LLMs) often struggle when prompted to generate content under specific constraints. However, in such cases it is often easy to check whether these constraints…
cs.CL2024
Do LLMs have Consistent Values?
Naama Rozen, Liat Bezalel, Gal Elidan +2
Large Language Models (LLM) technology is constantly improving towards human-like dialogue. Values are a basic driving force underlying human behavior, but little research has been…
cs.CL2024
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
Avi Caciularu, Alon Jacovi, Eyal Ben-David +5
Large Language Models (LLMs) often do not perform well on queries that require the aggregation of information across texts. To better evaluate this setting and facilitate modeling…