Papers with AND
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations (2021.acl-short)
Copied to clipboard
| Challenge: | A current open question in natural language processing is to what extent language models are able to capture the meaning of language. |
| Approach: | They propose to simulate a distributional language model’s ability to differentiate logical symbols using motivated constraints and motivated constraints. |
| Outcome: | The results show that the proposed models are unable to differentiate meaningfully different symbols, suggesting a limitation to the types of semantic signals that current models are capable of exploiting. |
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning (2026.acl-short)
Copied to clipboard
| Challenge: | LOGICAL-COMMONSENSEQA benchmarks evaluate commonsense reasoning as logical composition over pairs of atomic statements . commonsensible reasoning is central to human cognition and a long-standing challenge in artificial intelligence and natural language understanding. |
| Approach: | They propose a benchmark that reframes commonsense reasoning as logical composition over pairs of atomic statements using plausibility-level operators. |
| Outcome: | LOGICAL-COMMONSENSEQA exposes fundamental reasoning limitations and provides a framework for advancing compositional commonsense reasoning. |