Tootfinder

Also, may I just say, fuck Sergey Brin.
(How’s that for offensive, Sergey? You fucking genocide apologist piece of shit.) https://kolektiva.social/@oatmeal/114827622817744764

Fast Estimation of Globally Optimal Independent Contact Regions for Robust Grasping and Manipulation
Jonathan P. King, Harnoor Ahluwalia, Michael Zhang, Nancy S. Pollard
https://arxiv.org/abs/2506.08856

Fast Estimation of Globally Optimal Independent Contact Regions for Robust Grasping and Manipulation
This work presents a fast anytime algorithm for computing globally optimal independent contact regions (ICRs). ICRs are regions such that one contact within each region enables a valid grasp. Locations of ICRs can provide guidance for grasp and manipulation planning, learning, and policy transfer. However, ICRs for modern applications have been little explored, in part due to the expense of computing them, as they have a search space exponential in the number of contacts. We present a divide an…

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
Wuwei Zhang, Fangcong Yin, Howard Yen, Danqi Chen, Xi Ye
https://arxiv.org/abs/2506.09944

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
Recent work has identified retrieval heads (Wu et al., 2025b), a subset of attention heads responsible for retrieving salient information in long-context language models (LMs), as measured by their copy-paste behavior in Needle-in-a-Haystack tasks. In this paper, we introduce QRHEAD (Query-Focused Retrieval Head), an improved set of attention heads that enhance retrieval from long context. We identify QRHEAD by aggregating attention scores with respect to the input query, using a handful of exa…

Popularity Contest: Cowboys Micah Parsons vs Steelers TJ Watt https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/10/cowboys-micah-parsons-steelers-tj-watt-search-results/84137153007/…

Dnipropetrovsk village likely contested despite Russia's claim of its capture: https://benborges.xyz/2025/07/08/dnipropetrovsk-village-likely-contested-despite.html

This https://arxiv.org/abs/2505.14759 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
Large Language Models for code often entail significant computational complexity, which grows significantly with the length of the input code sequence. We propose LeanCode for code simplification to reduce training and prediction time, leveraging code contexts in utilizing attention scores to represent the tokens' importance. We advocate for the selective removal of tokens based on the average context-aware attention scores rather than average scores across all inputs. LeanCode uses the attenti…

This https://arxiv.org/abs/2502.04951 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search
Recent advancements in Large Language Models (LLMs) have significantly enhanced the capabilities of AI-Powered Search Engines (AIPSEs), offering precise and efficient responses by integrating external databases with pre-existing knowledge. However, we observe that these AIPSEs raise risks such as quoting malicious content or citing malicious websites, leading to harmful or unverified information dissemination. In this study, we conduct the first safety risk quantification on seven production AI…

This https://arxiv.org/abs/2506.05675 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models
Event Causality Identification (ECI) aims to detect causal relationships between events in textual contexts. Existing ECI models predominantly rely on supervised methodologies, suffering from dependence on large-scale annotated data. Although Large Language Models (LLMs) enable zero-shot ECI, they are prone to causal hallucination-erroneously establishing spurious causal links. To address these challenges, we propose MEFA, a novel zero-shot framework based on Multi-source Evidence Fuzzy Aggrega…

On Monday, Trump began his latest round of tariff threats, insisting that “we’re done” negotiating
as economists warned about a surge in consumer prices that could arise from taxing imports.
The White House also proceeded with its aggressive and legally contested plans to eliminate scores of federal regulations
and deport millions of migrants.
The immigration crackdown, in particular, could come to the detriment of many sectors, like agriculture, that rely heavily on …

Trump Takes Reins on U.S. Economy With Policy Bill and Tariffs Renewal
President Trump has achieved much of his agenda, leaving the fate of the economy squarely in his hands.