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cs.AI2026
Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar
As AI models progress beyond simple chatbots into more complex workflows, we draw ever closer to the event horizon beyond which AI systems will be utilized in autonomous, self-main…
cs.AI2025
Do LLMs "know" internally when they follow instructions?
Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar +5
Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However…
cs.AI2025
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model
Emre Can Acikgoz, Jeremiah Greer, Akul Datta +6
Large Language Models (LLMs) with API-calling capabilities enabled building effective Language Agents (LA), while also revolutionizing the conventional task-oriented dialogue (TOD)…