I am the manager of the Department of Personnel of the XX Science and Technology Shareholding Ltd.,

Due to corporate business development needs,

Recruiting one of the candidates for the reserve for the eligible graduates,

Assisting the leadership in receiving work,

Drafting company documents,

archived,

…

After rigorous, professional training by companies,

As long as you are able to learn, work enough and be diligent,

Three years of middle-level corporate leadership,

Monthly entry,

The water is sorely done.”

…

Science and technology companies, reserve cadres, monthly enrolments, etc.

A was not the exception, with three rounds of interviews receiving notice of recruitment and a telephone payment of 300 yuan for training.

On the day of entry,

The so-called reserve cadre training will vary considerably;

The so-called professional training variable operations;

The so-called promotional increments for chicken blood;

…

A common denominator is clearly known to have entered the pit,

Determined abandonment,

The loss of $300 is also a lesson to be learned.

In the above cases, annual retrospectives of history are generally present at school outreach sessions at universities.

Are there any recruitment units requiring the payment of training fees or recruitment units requiring a tripartite contract for students at the beginning of their recruitment …

Various recruitment pitfalls, commuting and changing, but essentially one thing: the use of psychological factors such as student earning a sense of money, job vision, learning platforms, etc., enterprises do not spend money or spend less to get them to work.

Data survey

Last week, a survey was conducted by the China Youth News Agency Social Survey Centre, a joint questionnaire network of interviewees who had been recruited in the campus.

Of the respondents, 21.5 per cent were due to graduate students, 33.5 per cent were undergraduate studies, 10.7 per cent were graduate students, 1.3 per cent were PhD students and 33.0 per cent were former graduates. Males account for 50.0 per cent and females for 50.0 per cent.

The survey showed that 83.3 per cent of the respondents had experienced problems in recruitment to schools, and 87.1 per cent of those who had been interviewed had experienced problems in recruiting to schools.

Two of the most common problems are the unfulfilled commitment of recruitment companies to contract (60.5 per cent) and the significantly different recruitment information from actual work (53.1 per cent).

Others include the requirement for the seizure of tripartite contracts (51.4 per cent) at the initial stages of recruitment, the payment of various fees (35.7 per cent), the overcrowding of the job fair (27.7 per cent), the inappropriate duration of seminars (26 per cent) and the absence of complaints (13.7 per cent).

Business recruitment traps

Stolen beacon

In order to attract people, recruitment often leads to attractive jobs or treatment, whereby job seekers are “recured”, but the actual work is not as reactive, commonly known as “built-backs”.

For example, a current Internet company is heavily trained in engineering (certified) by interviewing two parts of a company when participating in a school advertisement, after which it was discovered that it had been placed in a service that did not offer a job search intention.

He added that there was also a lack of respect for some company recruitment teams for qualified graduates, sometimes with poor counselling and challenge.

This has undoubtedly been “frauded” into the company.

Deficit pay trap

Pay entitlements are often blurred in recruitment information, giving a district scope. When interviewees ask for specific pay, interviewees usually use probationary pay for the purpose of retaining a person with the intention of concealing the correct pay.

For example, Chen (naming) graduated from a social work profession at the University of Hiroshima, and last year a tripartite agreement was signed with a property company, “the salary level I felt reasonably reasonable before signing, after which it was told that the good salary was a probationary wage and that the official salary was about half less than the probationary wage”.

The Tripartite Agreement has been signed and there has been a default, and many people can only tacitly cultivate.

There are also businesses that are confusing the frequencies of unpaid and responsible base pay, which are particularly high, allowing job seekers to have a great interest in work, but the workload to be performed is considerable, with little pay.

Time trap

The so-called time trap is to keep you with the time you have contracted, to continue to be interviewed and to be in a better position than you are, and you are going through. This is a generic “higher recruitment” by enterprises in order to recruit high-valued graduates.

As in the case of a high-level college whose four-story class passed an interview with a telecommunications science and technology company, the contract was contracted and the other company was refused a request, which led the other party to notify her of not being admitted.

哎, it is not surprising that it is not as skilled as people, or that business is too playing to ~

60.0% of respondents recommended that schools establish additional complaints channels

There is a common experience of job-seeking problems, and it is indeed a pit-up pit-free.

How can schools respond to problems encountered by previous students in seeking employment, by offering job counselling, informing students of possible traps and developing coping mechanisms?

Strict eligibility for participation in the recruitment enterprise

Strict screening and supervision of businesses involved in the recruitment of campuses, schools should look ahead to their background and confirm the authenticity of job offers. Feedback and complaint channels are provided to students and measures are taken in a timely manner once they report bad business.

A number of university employment centres and services have established a communication mechanism:

The institutions in charge of employment in schools, through the microcosm, are informed in the community once false information is found, so that schools can be kept informed in a timely manner and avoid dividing false or false information to more students.

Vocational planning courses

Vocational planning courses are offered in schools to inform students of issues requiring special attention when seeking employment. Despite poor classroom management, students do not pay attention to the phenomenon of making students aware of how to control and arrange for work.

For example, when the internship was to be carried out, when the curriculum vitae was written and when it was dropped, university students were to set a long-term plan and target.

Regular lectures

Schools should organize regular lectures on “Employment” for students and communicate with recruitment enterprises on relevant recruitment provisions in the lead-up to recruitment, alerting students to possible school recruitment traps.

At the same time, AHR was invited to provide students with job opportunities and to organize job fairs to provide on-site guidance to peers.

Annual school recruitment is a very important and effective demand for suitable graduates

https://www.zhuanzhi.ai/paper/60bedf74f62332e5c82c7a1bd40fcf5

Introduction

Logical reasoning is essential for human intelligence and incorporates logical capacity into natural language understanding (para. The NLU system has been an active research interest since the beginning of manual intelligence (Cresswell, 1973) (Kowalski, 1979) (Iwanska’, 1993). Researchers have been exploring ways of achieving this goal, including rules-based methods, symbols systems (MacCartney and Manning, 2007a), fine-tuning large language models (Wang et al., 2018) and combining neurological and symbols methods (Li and Skumar, 2019).

In traditional logic and language methods, linguists have developed a system of symbols that uses a one-step logic (FOL) or natural logic (macaccartney and Manning, 2007a) to address basic reasoning tasks. Rules-based models are difficult to address such issues as the RRTE challenge (Dagan et al., 2005). The formal logic used by early researchers lays down rules for symbols and manual design, where knowledge use logic or other symbols are expressed in a tacit manner. Through the rules, the system can be conducted in an exercise. However, these approaches face challenges in addressing ambiguity and expansibility. They are very vulnerable to natural language data in the real world.

The nervous network model era saw the emergence of large-scale NLI data sets as a popular benchmark. For example, the SNLI (Bowman et al., 2015) and the multiple-stream NLI (MNLI) data set (Williams et al., 2018) were created through public charters, with significant data size and broad coverage. They have contributed to the development of models with better capacity to express and become the preferred benchmark for natural language understanding research. With the emergence of language models based on Transformer (Vaswani et al., 2017) (e.g. BERT (Devlin et al., 2018), the training programmes of these models have made it possible to visit large unmarked pools. Thus, it is possible to construct language models with tens of millions of parameters (Brown et al., 2020) (Raffel et al., 2019). The pre-training and fine-tuning paradigm has since become the main solution for the text-rearing task. After pre-training of large-scale textbook banks, researchers fine-tuned language models for mission-specific data sets. Large-scale pre-training language models (LMs) have achieved more than human performance on the popular NLI and MMRC benchmarks, which have led to more complex benchmarking in text reasoning.

With the recent release of several data sets, the logical reasoning NLP research gained momentum, particularly in LogiQA and Reclor. The data sets are drawn from the logical reasoning examination, such as the Chinese Civil Service Examination and the School of Law entrance examination (LSAT). These tests are challenging even for humanity and are high-quality Golden markers data. The logic is used in many of the downstream tasks of the large pre-training language model (PLM) and the question-and-answer system. PLM performance is poor compared to traditional benchmarks. Despite the progress made so far, achieving a logical human-like capability in the NLU system remains a challenging task. Generic pre-training Transformer 4 (GPT-4) (OpenAI, 2023) and ChatGPT are new language models published by OpenAI aimed at understanding and generating multi-model content. GPT-4 has a stronger capacity in tasks requiring logical reasoning. Logical reasoning is essential for human intelligence, which enables us to draw conclusions, predict and resolve problems based on the information given. The inclusion of logical reasoning in language models, such as GPT-4, could radically change the natural language understanding (NLU) system to make it more accurate, more truncheons and understand complex information in natural languages.

Assessments of the performance of ChatGPT and GPT-4 in the logical reasoning tasks explored their performance on multiple logical reasoning benchmarks, analysed in detail the strengths and limitations of ChatGPT and GPT-4 in the logical reasoning tasks.

Recently, Yilong Lake in Shiping County, Honghe Prefecture has become one of the popular scenic spots for citizens to enjoy rape flowers. It is understood that this is one of the grain and oil demonstration bases of Yunnan jinfenghui Oil Co., Ltd., which began planting rape flowers in 2020. At present, the planting area is about 0.6 square kilometers. Because of the planting of new varieties, the rape flowers here bloom more than a month earlier than those in Luoping. The Spring Festival is the best time to enjoy the rape flowers.

Bai Ming, head of Yilonghu grain and oil demonstration base of Yunnan jinfenghui Oil Co., Ltd., said: “The rape flower was planted on October 15 last year. The reason why it blooms early is that we introduced a new rape variety Yunyouza 15 from the Provincial Academy of Agricultural Sciences. In addition, the geographical environment here is good, so the rape flower grows well, and some even grow to two meters. Moreover, this kind of rape flower has long flowering period, large seeds and high oil content.”

Bai Ming said that the grain and oil demonstration base grows two seasons a year, rape flowers in spring and oil sunflowers in summer. Citizens can enjoy flowers in both seasons. Next, they will increase the planting area of rape flowers, so that citizens can understand the ecological planting base of golden cauliflower seed oil and develop tourism at the same time.

Sina home news on March 5, dream Lily Home Technology Co., Ltd. (603313) issued an announcement on the supplementary pledge and renewal of the pledge of the controlling shareholder’s equity of the company.

According to the announcement, on March 4, 2022, mengbaihe Home Technology Co., Ltd. received a notice from the controlling shareholder Mr. Ni Zhanggen and learned that Mr. Ni Zhanggen had pledged, supplemented and renewed some of the company’s shares held by him. The Pledged Shares totaled 12.5 million shares, accounting for 5.21% of the company’s shares and 2.57% of the company’s total share capital. The pledged financing funds are used to support the entity’s production and operation, the production and operation of Nantong Hengkang CNC Machinery Co., Ltd., return part of the pledged financing funds, and support the production and operation of Jiangsu jiangshanhong Chemical Fiber Co., Ltd.

It is reported that Mr. Ni Zhanggen holds 23972715 shares of the company, accounting for 49.27% of the total share capital of the company. As of the date of this announcement, Mr. Ni Zhanggen has held 123689000 shares of the company’s shares (including this time), accounting for 51.60% of his shares and 25.42% of the company’s total share capital.