Human language technologies
Advancing how machines understand and generate human language across speech, text, and translation.
Claimify: Extracting high-quality claims from language model outputs
Claimify, created by Microsoft Research, is a novel LLM-based claim-extraction method that outperforms prior solutions to produce more accurate, comprehensive, and substantiated claims from LLM outputs.
LLMs vs. Torch 1.5: Why Your Code Assistant Can’t Keep Up
In the fast-evolving world of software libraries, code generation models are struggling to keep pace. Most existing benchmarks focus on static, version-agnostic code predictions, failing to capture the true complexity of adapting to frequent updates…
SeCom: On Memory Construction & Retrieval for Personalized Conversational Agents
On Memory Construction & Retrieval for Personalized Conversational Agents How can conversational agents better retain and retrieve past interactions for more coherent and personalized experiences? Our latest work – SeCom on Memory Construction & Retrieval…
CFPO: Content-Format Integrated Prompt Optimization
CFPO (Content-Format Integrated Prompt Optimization) is a novel methodology that concurrently optimizes both prompt content and format for Large Language Models (LLMs) through an iterative refinement process. It addresses the limitations of existing prompt optimization…