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Found 8 papers, 2 papers with code
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
While the initial optimism that reasoning might emerge automatically with scale has been tempered thanks to a slew of counterexamples--ranging from multiplication to simple planning--there persists a wide spread belief that LLMs can self-critique and improve their own solutions in an iterative fashion.
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
On the other side are perhaps over-pessimistic claims that all that LLMs are good for in planning/reasoning tasks are as mere translators of the problem specification from one syntactic format to another, and ship the problem off to external symbolic solvers.
Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
We evaluate a planning system that employs LLMs for both plan generation and verification.
On the Planning Abilities of Large Language Models : A Critical Investigation
We aim to evaluate (1) the effectiveness of LLMs in generating plans autonomously in commonsense planning tasks and (2) the potential of LLMs in LLM-Modulo settings where they act as a source of heuristic guidance for external planners and verifiers.
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)
On this benchmark, we evaluate LLMs in three modes: autonomous, heuristic and human-in-the-loop.
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
We propose two practical methods that can learn to model any kind of behavioral attributes from ordered behavior clips.
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
PlanBench provides sufficient diversity in both the task domains and the specific planning capabilities.
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions
Decision support systems seek to enable informed decision-making.
