25 citations · 81 across the 15 of their papers we have counts for
9 papers · 1 filter
ShieldGemma: Generative AI Content Moderation Based on Gemma
Wenjun Zeng, Yuchi Liu, Ryan Mullins +9
We present ShieldGemma, a comprehensive suite of LLM-based safety content moderation models built upon Gemma2. These models provide robust, state-of-the-art predictions of safety r…
Can Language Models Solve Olympiad Programming?
Quan Shi, Michael Tang, Karthik Narasimhan +1
Computing olympiads contain some of the most challenging problems for humans, requiring complex algorithmic reasoning, puzzle solving, in addition to generating efficient code. How…
FireAct: Toward Language Agent Fine-tuning
Baian Chen, Chang Shu, Ehsan Shareghi +3
Recent efforts have augmented language models (LMs) with external tools or environments, leading to the development of language agents that can reason and act. However, most of the…
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Shunyu Yao, Howard Chen, Austin W. Hanjie +2
Text generation under constraints have seen increasing interests in natural language processing, especially with the rapidly improving capabilities of large language models. Howeve…
InstructEval: Systematic Evaluation of Instruction Selection Methods
Anirudh Ajith, Chris Pan, Mengzhou Xia +2
In-context learning (ICL) performs tasks by prompting a large language model (LLM) using an instruction and a small set of annotated examples called demonstrations. Recent work has…
Referral Augmentation for Zero-Shot Information Retrieval
Michael Tang, Shunyu Yao, John Yang +1
We propose Referral-Augmented Retrieval (RAR), a simple technique that concatenates document indices with referrals, i.e. text from other documents that cite or link to the given d…