Entity Binding Failures in Tool-Augmented Agents
Entity Binding Failures in Tool-Augmented Agents Tool-augmented language models are increasingly used to perform tasks in enterprise systems, such as sending...
Explore Franklin AI
Understand new AI research with readable explanations and links to the original papers.
Entity Binding Failures in Tool-Augmented Agents Tool-augmented language models are increasingly used to perform tasks in enterprise systems, such as sending...
ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs Predicting the progression of neurodegenerative diseases like Alzheimer’s...
Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing Multi-Agent Systems (MAS) rely on routers to decide which specialized agent should ha...
Self-Evolving World Models for LLM Agent Planning Large Language Model (LLM) agents often struggle with long-horizon tasks because they lack reliable foresig...
The FIL Hypothesis: Inductive Biases Help with Kernel Engineering explores a critical challenge for the future of artificial intelligence: how to train and i...
Quantitative research in fields like psychology, political science, and health often relies on human subject experiments, which are frequently expensive, slo...
DOPD: Dual On-policy Distillation introduces a new way to train smaller AI models by transferring knowledge from larger, more capable "teacher" models.
The Human Creativity Benchmark (HCB) addresses a fundamental flaw in how we evaluate generative AI: the tendency to treat professional disagreement as "noise...
Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents As AI agents move from simple tools to active participants in human negotiations—suc...
Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing Geometry problem solving requires a delicate balance between visua...
Start with the overview to understand the paper’s main idea, then follow its original paper link for the methods, results and limitations.
Use Submit Research to send the original paper URL and explain why it is useful. An editor reviews the suggestion before publication.