S3: The Neg Conjink that coordinates a few agents

Researchers to The university of Illinois Urinois-Channel University They inform s3A tip of opening to be restored to a restoration generator (RAG) appropriately than the latest options.

S3 can be profitable to make real self-lovers (llm)

Rag Receplval

The help of any Rag system is tied to the color of the products recovered. In their paperThe researcher made the evolution of Rag approached three different parts.

1. “Classic Rag” systems depends on the restoration methods that contain regular questions, while the restoration version is appointed to the age of age. These buildings are bothered by the questions they want to talk or people.
2. The next step, lower “pre-Reri-zero,” it brings more information that holds a tap. These methods had a change of a lot of sessions, training generation, returns, and imagination. However, often dependent on zero-shots quickly and missed the training items to be able to return directly.
3. The most recent part, “rl-zero,” To encourage learning . Example is Search-r1who teach the sample to talk about a fly and search questions and find out.

Despite progressive progress, the existing rl-zero often corrects retaliation using search metals that ignore the device. As well, they need Outgoing a better llmwhich is cheap and incorrect. By preparing repeatedly with ages, reduces the actual work and corresponding to the winter or authentic colors.

As the researchers have put them

s3

S3 syndrings speak these hardships with a well-known way. The main idea is to train a hunter of the guardian and access access. The Government changes the version of the rental field without affecting llm that produces last reply.

In S3, SEARCHER ADDWAYS LLM ITTETIATE CONSIDERSED with a hunting engine. It produces the questions on a quick, they take appropriate documents, and they choose to be necessary, and selects continuing to seek more. The finished search, Download, the iceberg of llm’s llm’s lifs will damage this additional evidence to make the last answer.

The larger spread of S3 is its a sign of its reward, value than Rag (GBR). GRB makes up changes to generator confirmation while restored by S3, compared to the basics that resumes the uppercase matching the question. This reward will make a Searcher to get documents that really encourages the generator type.

“S3 Decororororororororororororororororororororrocises. These factors make that any companies, 4, or business scores. Allows them to solve the search for their age. “

S3 to do

The researchers have been examined s3, in response to the nine questions that answer, and compares with the three-time groups: He used qwen2.5-14b2.5-14b-reacts and Claude 3 haiku As frozen photographers.

S3 exceeded secrets, zero shoots and end at the end of the Beselmarks and get a large portion. His Data power is very important: S3 found the 2.4k training examples of 70k.

“Many businesses do not have major QA paper” This means that fastest fruits, reduces and time periods and quickers of Ai-Poly-point research. “

The facts that appear indicates the move required for restorations. As the researchers realize in a paper, the amount of many jobs in Russian returns “to replace the search form instead of to searching out of search generations rather than with adjacent results.

Another important acquisition of business activities and the end of S3 can follow the officers not trained. S3 showed the winning of zero in Medical QA, although QA, shows “Strengthened by study methods that have been louder than many generations,” depending on the researchers.

The switch of the sun makes the use of a special business about the business that usually deal with procesteary or sheluuku not working very much. This means that one-trained researchers can be found in different departments (ie legally, customers) or to change to improve the content as new documents.

“We see health possibility, with a scientific call, with a scientific survey, which is the highest point is important and the texts are usually needed,” Jeoch did.