activity
20202026
most citedValue Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

31 citations · 109 across the 36 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.CL2025★ 2 cited

Olmo 3

Team Olmo, :, Allyson Ettinger +66

We introduce Olmo 3, a family of state-of-the-art, fully-open language models at the 7B and 32B parameter scales. Olmo 3 model construction targets long-context reasoning, function…

cs.CL2025

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users

Nishant Balepur, Matthew Shu, Yoo Yeon Sung +5

To assist users in complex tasks, LLMs generate plans: step-by-step instructions towards a goal. While alignment methods aim to ensure LLM plans are helpful, they train (RLHF) or e…

cs.CL2025

Generalizing Verifiable Instruction Following

Valentina Pyatkin, Saumya Malik, Victoria Graf +5

A crucial factor for successful human and AI interaction is the ability of language models or chatbots to follow human instructions precisely. A common feature of instructions are…

cs.CL2025

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs

William Sheffield, Kanishka Misra, Valentina Pyatkin +3

Discourse particles are crucial elements that subtly shape the meaning of text. These words, often polyfunctional, give rise to nuanced and often quite disparate semantic/discourse…

cs.CL2025

RewardBench 2: Advancing Reward Model Evaluation

Saumya Malik, Valentina Pyatkin, Sander Land +4

Reward models are used throughout the post-training of language models to capture nuanced signals from preference data and provide a training target for optimization across instruc…

cs.CL2025

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance

Paul Röttger, Musashi Hinck, Valentin Hofmann +4

Large language models (LLMs) are helping millions of users write texts about diverse issues, and in doing so expose users to different ideas and perspectives. This creates concerns…

cs.CL2025★ 2 cited

2 OLMo 2 Furious

Team OLMo, Pete Walsh, Luca Soldaini +40

We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully rele…