the Thinking Reward
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning
arXiv:2601.04805v2 Announce Type: replace Abstract: Large reasoning models (LRMs) have attracted much attention due to their exceptional performance. However, their performance mainly stems from thinking, a long Chain of Thought (CoT), which significantly increase computational overhead. To address this overthinking problem, existing work focuses on using reinforcement learning (RL) to train hybrid reasoning models that automatically decide whether to engage in thinking or not based on the...
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
Announce Type: replace Abstract: Achieving robust perception-reasoning synergy is a central goal for advanced Vision-Language Models (VLMs). Recent advancements have pursued this goal via architectural designs or agentic workflows. However, these approaches are often limited by static textual reasoning or complicated by the significant compute and engineering burden of external agentic complexity.
Chris Sale's historic home ERA makes Braves run line a must-bet against struggling Blue Jays
Thursday is one of my favorite baseball days of the week. It is a travel day, which means that a lot of teams aren’t taking the field, but that means I can spend more time digging into games and match ups. Today we have a game between the Blue Jays and Braves that I think will reward us with some cash.
Aletheia: What Makes RLVR For Code Verifiers Tick?
arXiv:2601.12186v3 Announce Type: replace Abstract: Multi-domain thinking verifiers trained via Reinforcement Learning with Verifiable Rewards (RLVR) are a cornerstone of modern post-training. However, their adoption in code generation has lagged behind that of execution feedback due to the prohibitive costs of the full RLVR pipeline. In this work, we ablate three primary choices along the performance-cost trade-off in RLVR: intermediate thinking traces, learning from negative samples, and...
Characterizing, Evaluating, and Optimizing Complex Reasoning
arXiv:2602.08498v2 Announce Type: replace Abstract: Large Reasoning Models (LRMs) increasingly rely on reasoning traces with complex internal structures. However, existing work lacks a unified answer to three fundamental questions: (1) what defines high-quality reasoning, (2) how to reliably evaluate long, implicitly structured reasoning traces, and (3) how to use such evaluation signals for reasoning optimization. To address these challenges, we provide a unified perspective.
Reinforcement Learning for Special Education: Aligning LLM Tutors to Diverse Learners through Disability-Adaptive Training
Announce Type: new Abstract: Large language models are increasingly deployed as intelligent tutors, yet research on aligning them for special education remains absent. Recent work has applied reinforcement learning to LLM tutors, but these methods target a generic learner in a single domain (mathematics) and do not address the cognitive and communicative diversity of learners with disabilities. We introduce \emph{Special-R1}, a framework that extends pedagogical RL to special education...
Individual traders drove Kalshi’s rise. Now, it’s going for Wall Street
Prediction market platform Kalshi processed more than $17 billion in various trading contracts in May, a record amount up more than 2500% from a year ago. But while individuals drove Kalshi's astronomical growth over the past year, the company has focused on a new push in 2026: institutional adoption. Less than a year after trading volumes started marching consistently higher in September, Kalshi — the largest prediction market platform in the U.S. — has made a series of moves in 2026 to...
Farmers donate 100 tonnes of wheat for Sudan food crisis
Mates team up with NSW Riverina farmers to help feed people in Sudan Sat 6 Jun 2026 at 5:16am It started with mung beans. When Ken Dachi recognised the crop, considered a delicacy in his home country of Kenya, he knew he was in the right spot. That spot was Rob Houghton's farm at Leeton, in the New South Wales Riverina, but as Mr Dachi might say, this is not a story of geography, but rather one about a human response.
Microsoft’s AI chief says superintelligence is near, but won’t take your job
Today I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. And I’m actually going to keep today’s intro short — I’m working from my wife’s family farm this week, as you’ll see in the video, but also this is a real burner of an episode. We covered everything from Mustafa’s approach to training new models to his criticisms of Anthropic talking about Claude as though it is conscious.
How Donald Trump helped make Spain’s prime minister a ‘rockstar’
MADRID — When Europe’s leaders hold their periodic gatherings in Brussels, Pedro Sánchez isn’t often at the center of media attention. As a rule, when Spain’s 54-year-old prime minister strides down the red carpet below the giant glass oval structure in which the EU’s heads of government meet, only Spanish reporters surge forward to shout out questions about domestic affairs. Correspondents from other countries tend to focus on their own leaders, or chase after French President...