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CollabLLM: From Passive Responders to Active Collaborators

Official Outstanding PaperLanguage models

Trains models for collaboration across conversation turns rather than only the next response. Simulated interactions estimate longer-term rewards for clarifying user intent and supporting task completion.

Explanation level

Overview

Trains models for collaboration across conversation turns rather than only the next response. Simulated interactions estimate longer-term rewards for clarifying user intent and supporting task completion.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

References

  1. Bibliographic source

ID: icml-2025-collabllm · Last verified:

Reading notes (.md, English) ↓