The claim and evidence conflict pairs can be found at https://huggingface. The scope of our dataset is purely for scientific research. Conflict V erification: Ensuring that the default and conflict evidence are contradictory. The human evaluation results showed a high level of accuracy in our data generation process. We select models with 2B and 7B parameters for our analysis. MA2 [ Touvron et al., 2023 ] is a popular open-source foundation model, trained on 2T Models with 7B and 70B parameters are selected for our analysis. To facilitate parallel training, we employ DeepSpeed Zero-Stage 3 [ Ren et al., The prompt for generating semantic conflict descriptions is shown in Figure 1 . The prompt for generating default evidence is shown in Table 6 . The prompt for generating misinformation conflict evidence is shown in Table 7 . The prompt for generating temporal conflict evidence is shown in Table 8 . The prompt for generating semantic conflict evidence is shown in Table 9 .

What is your research area? My research topic, at a high level, hasn't changed much since my dissertation. It has always been the problem of physical scene understanding - building machines that see, reason about, and interact with the physical world. Besides learning algorithms, what are the levels of abstraction needed by Al systems in their representations, and where do they come from? I aim to answer these fundamental questions, drawing inspiration from nature, i.e., the physical world itself, and from human cognition.

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Machine unlearning is a promising solution for efficiently removing specific knowledge by post hoc modifying models.

Intelligent audio and intuitive tools are transforming collaboration from connection to creativity, says Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom. When work went remote, the sound of business changed. What began as a scramble to make home offices functional has evolved into a revolution in how people hear and are heard. From education to enterprises, companies across industries have reimagined what clear, reliable communication can mean in a hybrid world. For major audio and communications enterprises like Shure and Zoom, that transformation has been powered by artificial intelligence, new acoustic technologies, and a shared mission: making connection effortless. Necessity during the pandemic accelerated years of innovation in months. Audio and video just working is a baseline for collaboration, says chief ecosystem officer at Zoom, Brendan Ittelson. That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem. Audio is a foundation for trust, understanding, and collaboration.